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ORCIDAmir Salman Avestimehr
Salman Avestimehr
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- affiliation: University of Southern California, Los Angeles, USA
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Journal Articles
- 2024
[j92]Baturalp Buyukates
, Jinhyun So, Hessam Mahdavifar, Salman Avestimehr:
LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning. IEEE J. Sel. Areas Inf. Theory 5: 285-301 (2024)- [j91]Baturalp Buyukates, Jinhyun So, Hessam Mahdavifar, Salman Avestimehr:
Erratum to "LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning". IEEE J. Sel. Areas Inf. Theory 5: 570-571 (2024) - [j90]Onat Dalmaz, Muhammad Usama Mirza, Gökberk Elmas, Muzaffer Özbey, Salman Ul Hassan Dar, Emir Ceyani, Kader Karli Oguz, Salman Avestimehr, Tolga Çukur:
One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis. Medical Image Anal. 94: 103121 (2024) - [j89]Hamza Saleem, Amir Ziashahabi, Muhammad Naveed, Salman Avestimehr:
Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation. Proc. Priv. Enhancing Technol. 2024(3): 42-58 (2024) - [j88]Tingting Tang, Yue Niu, Salman Avestimehr, Murali Annavaram:
Edge Private Graph Neural Networks with Singular Value Perturbation. Proc. Priv. Enhancing Technol. 2024(3): 391-406 (2024) - 2023
- [j87]Sunwoo Lee, Anit Kumar Sahu, Chaoyang He, Salman Avestimehr:
Partial model averaging in Federated Learning: Performance guarantees and benefits. Neurocomputing 556: 126647 (2023) - [j86]Sunwoo Lee, Chaoyang He, Salman Avestimehr:
Achieving small-batch accuracy with large-batch scalability via Hessian-aware learning rate adjustment. Neural Networks 158: 1-14 (2023) - [j85]Ahmed Roushdy Elkordy, Jiang Zhang, Yahya H. Ezzeldin, Konstantinos Psounis, Salman Avestimehr:
How Much Privacy Does Federated Learning with Secure Aggregation Guarantee? Proc. Priv. Enhancing Technol. 2023(1): 510-526 (2023) - [j84]Gökberk Elmas, Salman Ul Hassan Dar, Yilmaz Korkmaz, Emir Ceyani, Burak Susam, Muzaffer Özbey, Salman Avestimehr, Tolga Çukur:
Federated Learning of Generative Image Priors for MRI Reconstruction. IEEE Trans. Medical Imaging 42(7): 1996-2009 (2023) - [j83]Sara Babakniya, Souvik Kundu, Saurav Prakash, Yue Niu, Salman Avestimehr:
Revisiting Sparsity Hunting in Federated Learning: Why does Sparsity Consensus Matter? Trans. Mach. Learn. Res. 2023 (2023) - [j82]Erum Mushtaq, Chaoyang He, Jie Ding, Salman Avestimehr:
Distributed Architecture Search Over Heterogeneous Distributions. Trans. Mach. Learn. Res. 2023 (2023) - [j81]Yue Niu, Zalan Fabian, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr:
mL-BFGS: A Momentum-based L-BFGS for Distributed Large-scale Neural Network Optimization. Trans. Mach. Learn. Res. 2023 (2023) - [j80]Yue Niu, Saurav Prakash, Souvik Kundu, Sunwoo Lee, Salman Avestimehr:
Overcoming Resource Constraints in Federated Learning: Large Models Can Be Trained with only Weak Clients. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j79]Tuo Zhang, Lei Gao, Chaoyang He, Mi Zhang, Bhaskar Krishnamachari, Amir Salman Avestimehr:
Federated Learning for the Internet of Things: Applications, Challenges, and Opportunities. IEEE Internet Things Mag. 5(1): 24-29 (2022) - [j78]Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian:
Privacy in Retrieval, Computing, and Learning. IEEE J. Sel. Areas Commun. 40(3): 725-728 (2022) - [j77]Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian:
Private Retrieval, Computing, and Learning: Recent Progress and Future Challenges. IEEE J. Sel. Areas Commun. 40(3): 729-748 (2022) - [j76]Ahmed Roushdy Elkordy, Saurav Prakash, Salman Avestimehr:
Basil: A Fast and Byzantine-Resilient Approach for Decentralized Training. IEEE J. Sel. Areas Commun. 40(9): 2694-2716 (2022) - [j75]Mohammad Ali Maddah-Ali, Salman Avestimehr, Ravi Tandon, Changho Suh, Ayfer Özgür, Chao Tian, Tara Javidi, Giuseppe Caire:
Guest Editorial. IEEE J. Sel. Areas Inf. Theory 3(2): 161 (2022) - [j74]Yue Niu, Ramy E. Ali, Salman Avestimehr:
3LegRace: Privacy-Preserving DNN Training over TEEs and GPUs. Proc. Priv. Enhancing Technol. 2022(4): 183-203 (2022) - [j73]Ahmed Roushdy Elkordy, Amir Salman Avestimehr:
HeteroSAg: Secure Aggregation With Heterogeneous Quantization in Federated Learning. IEEE Trans. Commun. 70(4): 2372-2386 (2022) - [j72]Saeid Sahraei, Amir Salman Avestimehr, Ramy E. Ali:
Info-Commit: Information-Theoretic Polynomial Commitment. IEEE Trans. Inf. Forensics Secur. 17: 1698-1708 (2022) - [j71]Mahdi Soleymani, Hessam Mahdavifar, Amir Salman Avestimehr:
Analog Secret Sharing With Applications to Private Distributed Learning. IEEE Trans. Inf. Forensics Secur. 17: 1893-1904 (2022) - [j70]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr:
CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning. IEEE/ACM Trans. Netw. 30(1): 148-161 (2022) - 2021
- [j69]Saurav Prakash, Sagar Dhakal, Mustafa Riza Akdeniz, Yair Yona, Shilpa Talwar, Salman Avestimehr, Nageen Himayat:
Coded Computing for Low-Latency Federated Learning Over Wireless Edge Networks. IEEE J. Sel. Areas Commun. 39(1): 233-250 (2021) - [j68]Jinhyun So, Basak Güler, Amir Salman Avestimehr:
Byzantine-Resilient Secure Federated Learning. IEEE J. Sel. Areas Commun. 39(7): 2168-2181 (2021) - [j67]Mahdi Soleymani, Hessam Mahdavifar, Amir Salman Avestimehr:
Analog Lagrange Coded Computing. IEEE J. Sel. Areas Inf. Theory 2(1): 283-295 (2021) - [j66]Saeid Sahraei, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Interactive Verifiable Polynomial Evaluation. IEEE J. Sel. Areas Inf. Theory 2(1): 317-325 (2021) - [j65]Chien-Sheng Yang, Amir Salman Avestimehr:
Coded Computing for Secure Boolean Computations. IEEE J. Sel. Areas Inf. Theory 2(1): 326-337 (2021) - [j64]Jinhyun So, Basak Güler, Amir Salman Avestimehr:
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning. IEEE J. Sel. Areas Inf. Theory 2(1): 441-451 (2021) - [j63]Jinhyun So, Basak Güler, Amir Salman Avestimehr:
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning. IEEE J. Sel. Areas Inf. Theory 2(1): 479-489 (2021) - [j62]Pulkit Grover, Viveck R. Cadambe, Sennur Ulukus, Stark C. Draper, Salman Avestimehr, Osvaldo Simeone:
Guest Editorial for Special Issue on Coded Computing. IEEE J. Sel. Areas Inf. Theory 2(3): 813 (2021) - [j61]Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, Amir Salman Avestimehr:
List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier. IEEE J. Sel. Areas Inf. Theory 2(3): 867-878 (2021) - [j60]Qian Yu, Amir Salman Avestimehr:
Coded Computing for Resilient, Secure, and Privacy-Preserving Distributed Matrix Multiplication. IEEE Trans. Commun. 69(1): 59-72 (2021) - [j59]Ahmed Roushdy Elkordy, Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Compressed Coded Distributed Computing. IEEE Trans. Commun. 69(5): 2773-2783 (2021) - [j58]Songze Li, Mingchao Yu, Chien-Sheng Yang, Amir Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. IEEE Trans. Inf. Forensics Secur. 16: 249-261 (2021) - [j57]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Edge Computing in the Dark: Leveraging Contextual-Combinatorial Bandit and Coded Computing. IEEE/ACM Trans. Netw. 29(3): 1022-1031 (2021) - 2020
- [j56]Songze Li, Salman Avestimehr:
Coded Computing. Found. Trends Commun. Inf. Theory 17(1): 1-148 (2020) - [j55]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Straggler Mitigation in Distributed Matrix Multiplication: Fundamental Limits and Optimal Coding. IEEE Trans. Inf. Theory 66(3): 1920-1933 (2020) - [j54]Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr:
Coded Computing for Distributed Graph Analytics. IEEE Trans. Inf. Theory 66(10): 6534-6554 (2020) - [j53]Basak Güler, Amir Salman Avestimehr, Antonio Ortega:
TACC: Topology-Aware Coded Computing for Distributed Graph Processing. IEEE Trans. Signal Inf. Process. over Networks 6: 508-525 (2020) - 2019
- [j52]Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Cache-Aided Interference Management in Wireless Cellular Networks. IEEE Trans. Commun. 67(5): 3376-3387 (2019) - [j51]Seyed Mohammad Asghari, Yi Ouyang, Ashutosh Nayyar, Amir Salman Avestimehr:
An Approximation Algorithm for Optimal Clique Cover Delivery in Coded Caching. IEEE Trans. Commun. 67(7): 4683-4695 (2019) - [j50]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Characterizing the Rate-Memory Tradeoff in Cache Networks Within a Factor of 2. IEEE Trans. Inf. Theory 65(1): 647-663 (2019) - [j49]Aamir Anis, Aly El Gamal, Amir Salman Avestimehr, Antonio Ortega:
A Sampling Theory Perspective of Graph-Based Semi-Supervised Learning. IEEE Trans. Inf. Theory 65(4): 2322-2342 (2019) - [j48]Mehrdad Kiamari, Amir Salman Avestimehr:
Capacity Region of the Symmetric Injective K-User Deterministic Interference Channel. IEEE Trans. Inf. Theory 65(7): 4010-4022 (2019) - [j47]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr:
Coded Computation Over Heterogeneous Clusters. IEEE Trans. Inf. Theory 65(7): 4227-4242 (2019) - [j46]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Communication-Aware Scheduling of Serial Tasks for Dispersed Computing. IEEE/ACM Trans. Netw. 27(4): 1330-1343 (2019) - [j45]Navid Azizan Ruhi, Farshad Lahouti, Amir Salman Avestimehr, Babak Hassibi:
Distributed Solution of Large-Scale Linear Systems via Accelerated Projection-Based Consensus. IEEE Trans. Signal Process. 67(14): 3806-3817 (2019) - 2018
- [j44]Sina Lashgari, Amir Salman Avestimehr:
Secrecy DoF of Blind MIMOME Wiretap Channel With Delayed CSIT. IEEE Trans. Inf. Forensics Secur. 13(2): 478-489 (2018) - [j43]Songze Li, Mohammad Ali Maddah-Ali, Qian Yu, Amir Salman Avestimehr:
A Fundamental Tradeoff Between Computation and Communication in Distributed Computing. IEEE Trans. Inf. Theory 64(1): 109-128 (2018) - [j42]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
The Exact Rate-Memory Tradeoff for Caching With Uncoded Prefetching. IEEE Trans. Inf. Theory 64(2): 1281-1296 (2018) - 2017
- [j41]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Coding for Distributed Fog Computing. IEEE Commun. Mag. 55(4): 34-40 (2017) - [j40]Alireza Vahid, Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal:
Interference management with mismatched partial channel state information. EURASIP J. Wirel. Commun. Netw. 2017: 134 (2017) - [j39]Heecheol Yang, Navid Naderializadeh, Amir Salman Avestimehr, Jungwoo Lee:
Topological Interference Management With Reconfigurable Antennas. IEEE Trans. Commun. 65(11): 4926-4939 (2017) - [j38]David T. H. Kao, Amir Salman Avestimehr:
Linear Degrees of Freedom of the MIMO X-Channel With Delayed CSIT. IEEE Trans. Inf. Theory 63(1): 297-319 (2017) - [j37]David T. H. Kao, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Blind Index Coding. IEEE Trans. Inf. Theory 63(4): 2076-2097 (2017) - [j36]Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Fundamental Limits of Cache-Aided Interference Management. IEEE Trans. Inf. Theory 63(5): 3092-3107 (2017) - [j35]Alireza Vahid, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr, Yan Zhu:
Binary Fading Interference Channel With No CSIT. IEEE Trans. Inf. Theory 63(6): 3565-3578 (2017) - [j34]Navid Naderializadeh, Aly El Gamal, Amir Salman Avestimehr:
Fundamental Limits of Non-Coherent Interference Alignment via Matroid Theory. IEEE Trans. Inf. Theory 63(10): 6573-6586 (2017) - [j33]Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
A Scalable Framework for Wireless Distributed Computing. IEEE/ACM Trans. Netw. 25(5): 2643-2654 (2017) - 2016
- [j32]Songze Li, David T. H. Kao, Amir Salman Avestimehr:
Rover-to-Orbiter Communication in Mars: Taking Advantage of the Varying Topology. IEEE Trans. Commun. 64(2): 572-585 (2016) - [j31]Alireza Vahid, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Approximate Capacity Region of the MISO Broadcast Channels With Delayed CSIT. IEEE Trans. Commun. 64(7): 2913-2924 (2016) - [j30]Sina Lashgari, Ravi Tandon, Salman Avestimehr:
MISO Broadcast Channel With Hybrid CSIT: Beyond Two Users. IEEE Trans. Inf. Theory 62(12): 7056-7077 (2016) - 2015
- [j29]Amir Salman Avestimehr, Suhas N. Diggavi, Chao Tian, David N. C. Tse:
An Approximation Approach to Network Information Theory. Found. Trends Commun. Inf. Theory 12(1-2): 1-183 (2015) - [j28]Navid Naderializadeh, Amir Salman Avestimehr:
Interference Networks With no CSIT: Impact of Topology. IEEE Trans. Inf. Theory 61(2): 917-938 (2015) - [j27]Chunhua Geng, Navid Naderializadeh, Amir Salman Avestimehr, Syed Ali Jafar:
On the Optimality of Treating Interference as Noise. IEEE Trans. Inf. Theory 61(4): 1753-1767 (2015) - [j26]Himanshu Asnani, Ilan Shomorony, Amir Salman Avestimehr, Tsachy Weissman:
Network Compression: Worst Case Analysis. IEEE Trans. Inf. Theory 61(7): 3980-3995 (2015) - [j25]M. Amin Khajehnejad, Weiyu Xu, Amir Salman Avestimehr, Babak Hassibi:
Improving the Thresholds of Sparse Recovery: An Analysis of a Two-Step Reweighted Basis Pursuit Algorithm. IEEE Trans. Inf. Theory 61(9): 5116-5128 (2015) - [j24]Ibrahim Issa, Silas L. Fong, Amir Salman Avestimehr:
Two-Hop Interference Channels: Impact of Linear Schemes. IEEE Trans. Inf. Theory 61(10): 5463-5489 (2015) - 2014
- [j23]Ilan Shomorony, Salman Avestimehr:
Multihop Wireless Networks: A Unified Approach to Relaying and Interference Management. Found. Trends Netw. 8(3): 149-280 (2014) - [j22]Navid Naderializadeh, Amir Salman Avestimehr:
ITLinQ: A New Approach for Spectrum Sharing in Device-to-Device Communication Systems. IEEE J. Sel. Areas Commun. 32(6): 1139-1151 (2014) - [j21]Ilan Shomorony, Raúl H. Etkin, Farzad Parvaresh, Amir Salman Avestimehr:
Diamond Networks With Bursty Traffic: Bounds on the Minimum Energy-Per-Bit. IEEE Trans. Inf. Theory 60(1): 461-493 (2014) - [j20]Mohammad Javad Abdoli, Amir Salman Avestimehr:
Layered Interference Networks With Delayed CSI: DoF Scaling With Distributed Transmitters. IEEE Trans. Inf. Theory 60(3): 1822-1839 (2014) - [j19]Sina Lashgari, Amir Salman Avestimehr, Changho Suh:
Linear Degrees of Freedom of the $X$ -Channel With Delayed CSIT. IEEE Trans. Inf. Theory 60(4): 2180-2189 (2014) - [j18]Ilan Shomorony, Amir Salman Avestimehr:
Degrees of Freedom of Two-Hop Wireless Networks: Everyone Gets the Entire Cake. IEEE Trans. Inf. Theory 60(5): 2417-2431 (2014) - [j17]Alireza Vahid, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Capacity Results for Binary Fading Interference Channels With Delayed CSIT. IEEE Trans. Inf. Theory 60(10): 6093-6130 (2014) - [j16]Raúl H. Etkin, Farzad Parvaresh, Ilan Shomorony, Amir Salman Avestimehr:
Computing Half-Duplex Schedules in Gaussian Relay Networks via Min-Cut Approximations. IEEE Trans. Inf. Theory 60(11): 7204-7220 (2014) - 2013
- [j15]Ilan Shomorony, Amir Salman Avestimehr:
Two-Unicast Wireless Networks: Characterizing the Degrees of Freedom. IEEE Trans. Inf. Theory 59(1): 353-383 (2013) - [j14]Ilan Shomorony, Amir Salman Avestimehr:
Worst-Case Additive Noise in Wireless Networks. IEEE Trans. Inf. Theory 59(6): 3833-3847 (2013) - [j13]Anas Chaaban, Aydin Sezgin, Amir Salman Avestimehr:
Approximate Sum-Capacity of the Y-Channel. IEEE Trans. Inf. Theory 59(9): 5723-5740 (2013) - [j12]Sina Lashgari, Amir Salman Avestimehr:
Timely Throughput of Heterogeneous Wireless Networks: Fundamental Limits and Algorithms. IEEE Trans. Inf. Theory 59(12): 8414-8433 (2013) - 2012
- [j11]Aydin Sezgin, Amir Salman Avestimehr, M. Amin Khajehnejad, Babak Hassibi:
Divide-and-Conquer: Approaching the Capacity of the Two-Pair Bidirectional Gaussian Relay Network. IEEE Trans. Inf. Theory 58(4): 2434-2454 (2012) - [j10]Alireza Vahid, Changho Suh, Amir Salman Avestimehr:
Interference Channels With Rate-Limited Feedback. IEEE Trans. Inf. Theory 58(5): 2788-2812 (2012) - [j9]Yue Zhao, Chee Wei Tan, Amir Salman Avestimehr, Suhas N. Diggavi, Gregory J. Pottie:
On the Maximum Achievable Sum-Rate With Successive Decoding in Interference Channels. IEEE Trans. Inf. Theory 58(6): 3798-3820 (2012) - [j8]Tian Liu, Weiyu Xu, Pascal Spincemaille, Amir Salman Avestimehr, Yi Wang:
Accuracy of the Morphology Enabled Dipole Inversion (MEDI) Algorithm for Quantitative Susceptibility Mapping in MRI. IEEE Trans. Medical Imaging 31(3): 816-824 (2012) - 2011
- [j7]Sukwon Kim, Tracey Ho, Michelle Effros, Amir Salman Avestimehr:
Network Error Correction With Unequal Link Capacities. IEEE Trans. Inf. Theory 57(2): 1144-1164 (2011) - [j6]Amir Salman Avestimehr, Suhas N. Diggavi, David N. C. Tse:
Wireless Network Information Flow: A Deterministic Approach. IEEE Trans. Inf. Theory 57(4): 1872-1905 (2011) - [j5]Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal:
On Achieving Local View Capacity Via Maximal Independent Graph Scheduling. IEEE Trans. Inf. Theory 57(5): 2711-2729 (2011) - [j4]Ziyu Shao, Minghua Chen, Amir Salman Avestimehr, Shuo-Yen Robert Li:
Cross-Layer Optimization for Wireless Networks With Deterministic Channel Models. IEEE Trans. Inf. Theory 57(9): 5840-5862 (2011) - [j3]M. Amin Khajehnejad, Weiyu Xu, Amir Salman Avestimehr, Babak Hassibi:
Analyzing Weighted 1 Minimization for Sparse Recovery With Nonuniform Sparse Models. IEEE Trans. Signal Process. 59(5): 1985-2001 (2011) - 2010
- [j2]Amir Salman Avestimehr, Aydin Sezgin, David N. C. Tse:
Information Theory Capacity of the two-way relay channel within a constant gap. Eur. Trans. Telecommun. 21(4): 363-374 (2010) - 2007
- [j1]Amir Salman Avestimehr, David N. C. Tse:
Outage Capacity of the Fading Relay Channel in the Low-SNR Regime. IEEE Trans. Inf. Theory 53(4): 1401-1415 (2007)
Conference and Workshop Papers
- 2024
- [c178]Tuo Zhang, Jinyue Yuan, Salman Avestimehr:
Revisiting OPRO: The Limitations of Small-Scale LLMs as Optimizers. ACL (Findings) 2024: 1727-1735 - [c177]Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr:
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs. ACL (1) 2024: 7752-7767 - [c176]Yue Niu, Ramy E. Ali, Saurav Prakash, Salman Avestimehr:
All Rivers Run to the Sea: Private Learning with Asymmetric Flows. CVPR 2024: 12353-12362 - [c175]Yavuz Faruk Bakman, Duygu Nur Yaldiz, Yahya H. Ezzeldin, Salman Avestimehr:
Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning. ICLR 2024 - [c174]Amir Ziashahabi, Baturalp Buyukates, Artan Sheshmani, Yi-Zhuang You, Salman Avestimehr:
Frequency Domain Diffusion Model with Scale-Dependent Noise Schedule. ISIT 2024: 19-24 - [c173]Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Salman Avestimehr, Chenyang Tao, Dimitrios Dimitriadis:
Predicting Uncertainty of Generative LLMs with MARS: Meaning-Aware Response Scoring. ISIT 2024: 2033-2037 - [c172]Shanshan Han, Baturalp Buyukates, Zijian Hu, Han Jin, Weizhao Jin, Lichao Sun, Xiaoyang Wang, Wenxuan Wu, Chulin Xie, Yuhang Yao, Kai Zhang, Qifan Zhang, Yuhui Zhang, Carlee Joe-Wong, Salman Avestimehr, Chaoyang He:
FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. KDD 2024: 5070-5081 - [c171]Junyuan Hong, Carl Yang, Zhuangdi Zhu, Zheng Xu, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou:
FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. KDD 2024: 6718-6719 - [c170]Lei Gao, Yue Niu, Tingting Tang, Salman Avestimehr, Murali Annavaram:
Ethos: Rectifying Language Models in Orthogonal Parameter Space. NAACL-HLT (Findings) 2024: 2054-2068 - [c169]Joshua C. Zhao, Atul Sharma, Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Salman Avestimehr, Saurabh Bagchi:
Loki: Large-scale Data Reconstruction Attack against Federated Learning through Model Manipulation. SP 2024: 1287-1305 - 2023
- [c168]Yahya H. Ezzeldin, Shen Yan, Chaoyang He, Emilio Ferrara, Amir Salman Avestimehr:
FairFed: Enabling Group Fairness in Federated Learning. AAAI 2023: 7494-7502 - [c167]Sunwoo Lee, Tuo Zhang, Amir Salman Avestimehr:
Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning. AAAI 2023: 8491-8499 - [c166]Jinhyun So, Ramy E. Ali, Basak Güler, Jiantao Jiao, Amir Salman Avestimehr:
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning. AAAI 2023: 9864-9873 - [c165]Joshua C. Zhao, Ahmed Roushdy Elkordy, Atul Sharma, Yahya H. Ezzeldin, Salman Avestimehr, Saurabh Bagchi:
The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning. CVPR 2023: 3974-3983 - [c164]Tuo Zhang, Lei Gao, Sunwoo Lee, Mi Zhang, Salman Avestimehr:
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training. CVPR Workshops 2023: 5064-5073 - [c163]Baturalp Buyukates, Chaoyang He, Shanshan Han, Zhiyong Fang, Yupeng Zhang, Jieyi Long, Ali Farahanchi, Salman Avestimehr:
Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain. DAPPS 2023: 13-22 - [c162]Christophe Dupuy, Jimit Majmudar, Jixuan Wang, Tanya G. Roosta, Rahul Gupta, Clement Chung, Jie Ding, Salman Avestimehr:
Quantifying Catastrophic Forgetting in Continual Federated Learning. ICASSP 2023: 1-5 - [c161]Tuo Zhang, Tiantian Feng, Samiul Alam, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr:
FedAudio: A Federated Learning Benchmark for Audio Tasks. ICASSP 2023: 1-5 - [c160]Xiruo Liu, Furqan Khan, Yue Niu, Pradeep Natarajan, Rinat Khaziev, Salman Avestimehr, Prateek Singhal:
Performance and Failure Cause Estimation for Machine Learning Systems in the Wild. ICVS 2023: 377-390 - [c159]Erum Mushtaq, Yavuz Faruk Bakman, Jie Ding, Salman Avestimehr:
Federated Alternate Training (Fat): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging. ISBI 2023: 1-5 - [c158]Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan:
FedMultimodal: A Benchmark for Multimodal Federated Learning. KDD 2023: 4035-4045 - [c157]Shen Li, Pritam Damania, Luca Wehrstedt, Rohan Varma, Omkar Salpekar, Pavel Belevich, Howard Huang, Yanli Zhao, Lucas Hosseini, Wanchao Liang, Hongyi Jia, Shihao Xu, Satendra Gera, Alisson G. Azzolini, Guoqiang Jerry Chen, Zachary DeVito, Chaoyang He, Amir Ziashahabi, Alban Desmaison, Edward Z. Yang, Gregory Chanan, Brian Vaughan, Manoj Krishnan, Joseph S. Spisak, Salman Avestimehr, Soumith Chintala:
PyTorch RPC: Distributed Deep Learning Built on Tensor-Optimized Remote Procedure Calls. MLSys 2023 - [c156]Sara Babakniya, Zalan Fabian, Chaoyang He, Mahdi Soltanolkotabi, Salman Avestimehr:
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks. NeurIPS 2023 - 2022
- [c155]Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr:
SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data. AAAI 2022: 6865-6873 - [c154]Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, Amir Salman Avestimehr:
ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems. AAAI 2022: 8342-8350 - [c153]August Deer, Ramy E. Ali, Amir Salman Avestimehr:
On Multi-Round Privacy in Federated Learning. IEEECONF 2022: 764-769 - [c152]Yaying Shi, Hongjian Gao, Salman Avestimehr, Yonghong Yan:
Experimenting FedML and NVFLARE for Federated Tumor Segmentation Challenge. BrainLes@MICCAI (2) 2022: 228-240 - [c151]Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Salman Avestimehr:
Federated K-Private Set Intersection. CIKM 2022: 436-445 - [c150]Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr:
The 1st International Workshop on Federated Learning with Graph Data (FedGraph). CIKM 2022: 5179-5180 - [c149]Xiaoyi Mai, Salman Avestimehr, Antonio Ortega, Mahdi Soltanolkotabi:
On The Effectiveness of Active Learning by Uncertainty Sampling in Classification of High-Dimensional Gaussian Mixture Data. ICASSP 2022: 4238-4242 - [c148]Jie Ding, Eric W. Tramel, Anit Kumar Sahu, Shuang Wu, Salman Avestimehr, Tao Zhang:
Federated Learning Challenges and Opportunities: An Outlook. ICASSP 2022: 8752-8756 - [c147]Christophe Dupuy, Tanya G. Roosta, Leo Long, Clement Chung, Rahul Gupta, Salman Avestimehr:
Learnings from Federated Learning in The Real World. ICASSP 2022: 8767-8771 - [c146]Erum Mushtaq, Jie Ding, Salman Avestimehr:
What If Kidney Tumor Segmentation Challenge (KiTS19) Never Happened. ICMLA 2022: 1740-1747 - [c145]Tingting Tang, Ramy E. Ali, Hanieh Hashemi, Tynan Gangwani, Salman Avestimehr, Murali Annavaram:
Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning. IPDPS 2022: 628-638 - [c144]Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr:
Statistical Minimax Lower Bounds for Transfer Learning in Linear Binary Classification. ISIT 2022: 282-287 - [c143]Jinhyun So, Corey J. Nolet, Chien-Sheng Yang, Songze Li, Qian Yu, Ramy E. Ali, Basak Guler, Salman Avestimehr:
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning. MLSys 2022 - [c142]Bill Yuchen Lin, Chaoyang He, Zihang Ze, Hulin Wang, Yufen Hua, Christophe Dupuy, Rahul Gupta, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr:
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks. NAACL-HLT (Findings) 2022: 157-175 - [c141]Rahul Sharma, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta:
Federated Learning with Noisy User Feedback. NAACL-HLT 2022: 2726-2739 - [c140]Huili Chen, Jie Ding, Eric W. Tramel, Shuang Wu, Anit Kumar Sahu, Salman Avestimehr, Tao Zhang:
Self-Aware Personalized Federated Learning. NeurIPS 2022 - [c139]Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux:
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. NeurIPS 2022 - 2021
- [c138]Yaying Shi, Christian Micklisch, Erum Mushtaq, Salman Avestimehr, Yonghong Yan, Xiaodong Zhang:
An Ensemble Approach to Automatic Brain Tumor Segmentation. BrainLes@MICCAI (2) 2021: 138-148 - [c137]Chaoyang He, Shen Li, Mahdi Soltanolkotabi, Salman Avestimehr:
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021: 4150-4159 - [c136]Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, Amir Salman Avestimehr:
List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier. ISIT 2021: 1206-1211 - [c135]Mahdi Soleymani, Hessam Mahdavifar, Amir Salman Avestimehr:
Analog Privacy-Preserving Coded Computing. ISIT 2021: 1865-1870 - [c134]Alexander Poylisher, Andrzej Cichocki, Katherine Guo, James Hunziker, Latha A. Kant, Bhaskar Krishnamachari, Salman Avestimehr, Murali Annavaram:
Tactical Jupiter: Dynamic Scheduling of Dispersed Computations in Tactical MANETs. MILCOM 2021: 102-107 - [c133]Tuo Zhang, Chaoyang He, Tianhao Ma, Lei Gao, Mark Ma, Salman Avestimehr:
Federated Learning for Internet of Things. SenSys 2021: 413-419 - [c132]Pradipta Ghosh, Quynh Nguyen, Pranav K. Sakulkar, Jason A. Tran, Aleksandra Knezevic, Jiatong Wang, Zhifeng Lin, Bhaskar Krishnamachari, Murali Annavaram, Salman Avestimehr:
Jupiter: a networked computing architecture. UCC Companion 2021: 28:1-28:8 - 2020
- [c131]Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
Coded Merkle Tree: Solving Data Availability Attacks in Blockchains. Financial Cryptography 2020: 114-134 - [c130]Hema Venkata Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram:
Collage Inference: Using Coded Redundancy for Lowering Latency Variation in Distributed Image Classification Systems. ICDCS 2020: 453-463 - [c129]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Coded Computing in Unknown Environment via Online Learning. ISIT 2020: 185-190 - [c128]Songze Li, Mingchao Yu, Chien-Sheng Yang, Amir Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. ISIT 2020: 203-208 - [c127]Qian Yu, Amir Salman Avestimehr:
Entangled Polynomial Codes for Secure, Private, and Batch Distributed Matrix Multiplication: Breaking the "Cubic" Barrier. ISIT 2020: 245-250 - [c126]Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr:
Hierarchical Coded Gradient Aggregation for Learning at the Edge. ISIT 2020: 2616-2621 - [c125]Saeid Sahraei, Mohammad Ali Maddah-Ali, Salman Avestimehr:
Interactive Verifiable Polynomial Evaluation. ISIT 2020: 2843-2848 - [c124]Chien-Sheng Yang, Amir Salman Avestimehr:
Coded Computing for Boolean Functions. ISITA 2020: 141-145 - [c123]Chaoyang He, Murali Annavaram, Salman Avestimehr:
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge. NeurIPS 2020 - [c122]Seyed Mohammadreza Mousavi Kalan, Zalan Fabian, Salman Avestimehr, Mahdi Soltanolkotabi:
Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks. NeurIPS 2020 - [c121]Jinhyun So, Basak Güler, Salman Avestimehr:
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning. NeurIPS 2020 - 2019
- [c120]Qian Yu, Songze Li, Netanel Raviv, Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr:
Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy. AISTATS 2019: 1215-1225 - [c119]Basak Güler, Ajinkya Jayawant, Amir Salman Avestimehr, Antonio Ortega:
Robust Graph Signal Sampling. ICASSP 2019: 7520-7524 - [c118]Bagak Güler, Amir Salman Avestimehr, Antonio Ortega:
A Topology-aware Coding Framework for Distributed Graph Processing. ICASSP 2019: 8182-8186 - [c117]Qian Yu, Amir Salman Avestimehr:
Harmonic Coding: An Optimal Linear Code for Privacy-Preserving Gradient-Type Computation. ISIT 2019: 1102-1106 - [c116]Saeid Sahraei, Amir Salman Avestimehr:
INTERPOL: Information Theoretically Verifiable Polynomial Evaluation. ISIT 2019: 1112-1116 - [c115]Netanel Raviv, Qian Yu, Jehoshua Bruck, Salman Avestimehr:
Download and Access Trade-offs in Lagrange Coded Computing. ISIT 2019: 1787-1791 - [c114]Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr:
Fitting ReLUs via SGD and Quantized SGD. ISIT 2019: 2469-2473 - [c113]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Timely Coded Computing. ISIT 2019: 2798-2802 - [c112]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr:
Tree Gradient Coding. ISIT 2019: 2808-2812 - [c111]Basak Güler, Amir Salman Avestimehr, Antonio Ortega:
Privacy-Aware Distributed Graph-Based Semi-Supervised Learning. MLSP 2019: 1-6 - [c110]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Timely-Throughput Optimal Coded Computing over Cloud Networks. MobiHoc 2019: 301-310 - [c109]Songze Li, Saeid Sahraei, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
Coded State Machine - Scaling State Machine Execution under Byzantine Faults. PODC 2019: 150-152 - [c108]Krishna Giri Narra, Zhifeng Lin, Mehrdad Kiamari, Salman Avestimehr, Murali Annavaram:
Slack squeeze coded computing for adaptive straggler mitigation. SC 2019: 14:1-14:16 - 2018
- [c107]Navid Azizan Ruhi, Farshad Lahouti, Salman Avestimehr, Babak Hassibi:
Distributed Solution of Large-Scale Linear Systems Via Accelerated Projection-Based Consensus. ICASSP 2018: 6358-6362 - [c106]Seyed Mohammad Asghari, Yi Ouyang, Ashutosh Nayyar, Amir Salman Avestimehr:
Optimal Coded Multicast in Cache Networks with Arbitrary Content Placement. ICC 2018: 1-6 - [c105]Songze Li, Seyed Mohammadreza Mousavi Kalan, Amir Salman Avestimehr, Mahdi Soltanolkotabi:
Near-Optimal Straggler Mitigation for Distributed Gradient Methods. IPDPS Workshops 2018: 857-866 - [c104]Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr:
Coded Computing for Distributed Graph Analytics. ISIT 2018: 1221-1225 - [c103]Chien-Sheng Yang, Amir Salman Avestimehr, Ramtin Pedarsani:
Communication-Aware Scheduling of Serial Tasks for Dispersed Computing. ISIT 2018: 1226-1230 - [c102]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Straggler Mitigation in Distributed Matrix Multiplication: Fundamental Limits and Optimal Coding. ISIT 2018: 2022-2026 - [c101]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Compressed Coded Distributed Computing. ISIT 2018: 2032-2036 - [c100]Qian Yu, Netanel Raviv, Amir Salman Avestimehr:
Coding for Private and Secure Multiparty Computing. ITW 2018: 1-5 - [c99]Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr:
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. NeurIPS 2018: 5129-5139 - [c98]Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander G. Schwing:
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training. NeurIPS 2018: 8056-8067 - 2017
- [c97]Mehrdad Kiamari, Chenwei Wang, Amir Salman Avestimehr:
Coding for edge-facilitated wireless distributed computing with heterogeneous users. ACSSC 2017: 536-540 - [c96]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Coded fourier transform. Allerton 2017: 494-501 - [c95]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Architectures for coded mobile edge computing. FWC 2017: 1-6 - [c94]Mehrdad Kiamari, Chenwei Wang, Amir Salman Avestimehr:
On Heterogeneous Coded Distributed Computing. GLOBECOM 2017: 1-7 - [c93]Mehrdad Kiamari, Chenwei Wang, Amir Salman Avestimehr, Haralabos C. Papadopoulos:
SINR-Threshold Scheduling with Binary Power Control for D2D Networks. GLOBECOM 2017: 1-7 - [c92]Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Cache-aided interference management in wireless cellular networks. ICC 2017: 1-7 - [c91]Qian Yu, Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
How to optimally allocate resources for coded distributed computing? ICC 2017: 1-7 - [c90]Songze Li, Sucha Supittayapornpong, Mohammad Ali Maddah-Ali, Salman Avestimehr:
Coded TeraSort. IPDPS Workshops 2017: 389-398 - [c89]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Characterizing the rate-memory tradeoff in cache networks within a factor of 2. ISIT 2017: 386-390 - [c88]Mehrdad Kiamari, Amir Salman Avestimehr:
Capacity region of the symmetric injective K-user Deterministic Interference Channel. ISIT 2017: 639-643 - [c87]Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
On the optimality of separation between caching and delivery in general cache networks. ISIT 2017: 1232-1236 - [c86]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
The exact rate-memory tradeoff for caching with uncoded prefetching. ISIT 2017: 1613-1617 - [c85]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Salman Avestimehr:
Coded computation over heterogeneous clusters. ISIT 2017: 2408-2412 - [c84]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Communication-aware computing for edge processing. ISIT 2017: 2885-2889 - [c83]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Communication-optimal coding designs for caching networks. ITW 2017: 6-10 - [c82]Qian Yu, Mohammad Ali Maddah-Ali, Salman Avestimehr:
Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication. NIPS 2017: 4403-4413 - 2016
- [c81]Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Coded distributed computing: Fundamental limits and practical challenges. ACSSC 2016: 509-513 - [c80]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Coded Distributed Computing: Straggling Servers and Multistage Dataflows. Allerton 2016: 164-171 - [c79]Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Poster Abstract: A Scalable Coded Computing Framework for Edge-Facilitated Wireless Distributed Computing. SEC 2016: 79-80 - [c78]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
A Unified Coding Framework for Distributed Computing with Straggling Servers. GLOBECOM Workshops 2016: 1-6 - [c77]Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Edge-Facilitated Wireless Distributed Computing. GLOBECOM 2016: 1-7 - [c76]Eyal En Gad, Akshay Gadde, Amir Salman Avestimehr, Antonio Ortega:
Active learning on weighted graphs using adaptive and non-adaptive approaches. ICASSP 2016: 6175-6179 - [c75]Heecheol Yang, Navid Naderializadeh, Amir Salman Avestimehr, Jungwoo Lee:
Topological interference management with reconfigurable antennas. ISIT 2016: 555-559 - [c74]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Fundamental tradeoff between computation and communication in distributed computing. ISIT 2016: 1814-1818 - [c73]Akshay Gadde, Eyal En Gad, Salman Avestimehr, Antonio Ortega:
Active learning for community detection in stochastic block models. ISIT 2016: 1889-1893 - [c72]Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Fundamental limits of cache-aided interference management. ISIT 2016: 2044-2048 - 2015
- [c71]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Coded MapReduce. Allerton 2015: 964-971 - [c70]Mehrdad Kiamari, Amir Salman Avestimehr:
Are generalized cut-set bounds tight for the deterministic interference channel? Allerton 2015: 1430-1437 - [c69]Aamir Anis, Aly El Gamal, Salman Avestimehr, Antonio Ortega:
Asymptotic justification of bandlimited interpolation of graph signals for semi-supervised learning. ICASSP 2015: 5461-5465 - [c68]David T. H. Kao, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Blind index coding over wireless channels: the value of repetition coding. ICC 2015: 2066-2071 - [c67]Navid Naderializadeh, Aly El Gamal, Amir Salman Avestimehr:
Topological interference management with just retransmission: What are the "Best" topologies? ICC 2015: 4113-4119 - [c66]Sina Lashgari, Ravi Tandon, Salman Avestimehr:
Three-user MISO broadcast channel: How much can CSIT heterogeneity help? ICC 2015: 4187-4192 - [c65]Sina Lashgari, Ravi Tandon, Amir Salman Avestimehr:
A general outer bound for MISO broadcast channel with heterogeneous CSIT. ISIT 2015: 401-405 - [c64]Songze Li, David T. H. Kao, Amir Salman Avestimehr:
Rover-to-orbiter communication in Mars: Taking advantage of the varying topology. ISIT 2015: 631-635 - [c63]Aly El Gamal, Navid Naderializadeh, Amir Salman Avestimehr:
When does an ensemble of matrices with randomly scaled rows lose rank? ISIT 2015: 1502-1506 - [c62]David T. H. Kao, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Blind index coding. ISIT 2015: 2371-2375 - 2014
- [c61]Sina Lashgari, Amir Salman Avestimehr:
Transmitter cooperation in interference channel with delayed CSIT. Allerton 2014: 378-384 - [c60]Navid Naderializadeh, David T. H. Kao, Amir Salman Avestimehr:
How to utilize caching to improve spectral efficiency in device-to-device wireless networks. Allerton 2014: 415-422 - [c59]Navid Naderializadeh, Amir Salman Avestimehr:
ITLinQ: A new approach for spectrum sharing. DySPAN 2014: 327-333 - [c58]Ilan Shomorony, Amir Salman Avestimehr:
Sampling large data on graphs. GlobalSIP 2014: 933-936 - [c57]Sina Lashgari, Amir Salman Avestimehr:
Blind MIMO wiretap channel with delayed CSIT. GLOBECOM Workshops 2014: 1361-1366 - [c56]Alireza Vahid, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Communication through collisions: Opportunistic utilization of past receptions. INFOCOM 2014: 2553-2561 - [c55]Sina Lashgari, Amir Salman Avestimehr:
Blind wiretap channel with delayed CSIT. ISIT 2014: 36-40 - [c54]Ilan Shomorony, Amir Salman Avestimehr:
A generalized cut-set bound for deterministic multi-flow networks and its applications. ISIT 2014: 271-275 - [c53]David T. H. Kao, Amir Salman Avestimehr:
Linear degrees of freedom of the MIMO X-channel with delayed CSIT. ISIT 2014: 366-370 - [c52]Alireza Vahid, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Binary Fading Interference Channel with No CSIT. ISIT 2014: 666-670 - [c51]Navid Naderializadeh, Amir Salman Avestimehr:
ITLinQ: A new approach for spectrum sharing in device-to-device communication systems. ISIT 2014: 1573-1577 - [c50]David T. H. Kao, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Align-and-forward relaying for two-hop erasure broadcast channels. ISIT 2014: 1932-1936 - 2013
- [c49]Sina Lashgari, Amir Salman Avestimehr, Changho Suh:
A rank ratio inequality and the linear degrees of freedom of X-channel with delayed CSIT. Allerton 2013: 218-225 - [c48]Alireza Vahid, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Approximate capacity of the two-user MISO Broadcast Channel with delayed CSIT. Allerton 2013: 1136-1143 - [c47]Chunhua Geng, Navid Naderializadeh, Amir Salman Avestimehr, Syed Ali Jafar:
On the optimality of treating interference as noise. Allerton 2013: 1166-1173 - [c46]Amandianeze O. Nwana, Salman Avestimehr, Tsuhan Chen:
A latent social approach to YouTube popularity prediction. GLOBECOM 2013: 3138-3144 - [c45]Himanshu Asnani, Ilan Shomorony, Amir Salman Avestimehr, Tsachy Weissman:
Network compression: Worst-case analysis. ISIT 2013: 196-200 - [c44]Navid Naderializadeh, Amir Salman Avestimehr:
Impact of topology on interference networks with no CSIT. ISIT 2013: 394-398 - [c43]Mohammad Javad Abdoli, Amir Salman Avestimehr:
On degrees of freedom scaling in layered interference networks with delayed CSI. ISIT 2013: 1566-1570 - [c42]Raúl H. Etkin, Farzad Parvaresh, Ilan Shomorony, Amir Salman Avestimehr:
On efficient min-cut approximations in half-duplex relay networks. ISIT 2013: 1949-1953 - [c41]Ibrahim Issa, Silas L. Fong, Amir Salman Avestimehr:
Two-hop interference channels: Impact of linear time-varying schemes. ISIT 2013: 2309-2313 - [c40]Himanshu Asnani, Ilan Shomorony, Amir Salman Avestimehr, Tsachy Weissman:
Operational extremality of Gaussianity in network compression, communication, and coding. ITW 2013: 1 - [c39]Farzad Parvaresh, Raúl H. Etkin, Ilan Shomorony, Amir Salman Avestimehr:
On computing half-duplex relaying capacity in networks with orthogonal channels. IWCIT 2013: 1-6 - 2012
- [c38]Ilan Shomorony, Amir Salman Avestimehr:
Degrees of freedom of two-hop wireless networks: "Everyone gets the entire cake". Allerton Conference 2012: 1935-1942 - [c37]Achaleshwar Sahai, Amir Salman Avestimehr, Ashutosh Sabharwal:
Learning beyond local view: Value and information in the bits. CISS 2012: 1-6 - [c36]Ilan Shomorony, Amir Salman Avestimehr:
Is Gaussian noise the worst-case additive noise in wireless networks? ISIT 2012: 214-218 - [c35]Ilan Shomorony, Raúl H. Etkin, Farzad Parvaresh, Amir Salman Avestimehr:
Bounds on the minimum energy-per-bit for bursty traffic in diamond networks. ISIT 2012: 801-805 - [c34]Alireza Vahid, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Binary fading interference channel with delayed feedback. ISIT 2012: 1882-1886 - [c33]Sina Lashgari, Amir Salman Avestimehr:
Approximating the timely throughput of heterogeneous wireless networks. ISIT 2012: 2836-2840 - [c32]Ilan Shomorony, Amir Salman Avestimehr:
On the role of deterministic models in K × K × K wireless networks. ITW 2012: 60-64 - [c31]Ilan Shomorony, Amir Salman Avestimehr, Himanshu Asnani, Tsachy Weissman:
Worst-case source for distributed compression with quadratic distortion. ITW 2012: 187-191 - 2011
- [c30]Anas Chaaban, Aydin Sezgin, Amir Salman Avestimehr:
On the sum capacity of the Y-channel. ACSCC 2011: 2135-2139 - [c29]Kanes Sutuntivorakoon, Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal:
Maximal k-Clique Scheduling: A simple algorithm to bound maximal independent graph scheduling. Allerton 2011: 816-823 - [c28]Alireza Vahid, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Interference channel with binary fading: Effect of delayed network state information. Allerton 2011: 894-901 - [c27]Ilan Shomorony, Amir Salman Avestimehr:
Sum degrees-of-freedom of two-unicast wireless networks. ISIT 2011: 214-218 - [c26]Yue Zhao, Chee Wei Tan, Amir Salman Avestimehr, Suhas N. Diggavi, Gregory J. Pottie:
On the sum-capacity with successive decoding in interference channels. ISIT 2011: 1494-1498 - [c25]Tracey Ho, Sukwon Kim, Yanbo Yang, Michelle Effros, Amir Salman Avestimehr:
On network error correction with limited feedback capacity. ITA 2011: 160-162 - 2010
- [c24]Aydin Sezgin, Holger Boche, Salman Avestimehr:
Bidirectional multi-pair network with a MIMO relay: Beamforming strategies and lack of duality. Allerton 2010: 72-77 - [c23]Alireza Vahid, Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal:
On the capacity of multi-hop wireless networks with partial network knowledge. Allerton 2010: 1030-1037 - [c22]Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal:
How (information theoretically) optimal are distributed decisions? CISS 2010: 1-5 - [c21]Weiyu Xu, M. Amin Khajehnejad, Amir Salman Avestimehr, Babak Hassibi:
Breaking through the thresholds: an analysis for iterative reweighted l1 minimization via the Grassmann angle framework. ICASSP 2010: 5498-5501 - [c20]Ziyu Shao, Minghua Chen, Amir Salman Avestimehr, Shuo-Yen Robert Li:
Cross-layer Optimization for Wireless Networks with Deterministic Channel Models. INFOCOM 2010: 181-185 - [c19]Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal:
Normalized sum-capacity of interference networks with partial information. ISIT 2010: 415-419 - [c18]Alireza Vahid, Amir Salman Avestimehr:
The two-user deterministic interference channel with rate-limited feedback. ISIT 2010: 460-464 - [c17]M. Amin Khajehnejad, Weiyu Xu, Amir Salman Avestimehr, Babak Hassibi:
Improved sparse recovery thresholds with two-step reweighted ℓ1 minimization. ISIT 2010: 1603-1607 - [c16]Sukwon Kim, Tracey Ho, Michelle Effros, Amir Salman Avestimehr:
New results on network error correction: Capacities and upper bounds. ITA 2010: 184-193 - 2009
- [c15]Vaneet Aggarwal, Salman Avestimehr, Ashutosh Sabharwal:
Distributed universally optimal strategies for interference channels with partial message passing. Allerton 2009: 579-584 - [c14]Weiyu Xu, M. Amin Khajehnejad, Amir Salman Avestimehr, Babak Hassibi:
Breaking the ℓ1 recovery thresholds with reweighted ℓ1 optimization. Allerton 2009: 1026-1030 - [c13]Sukwon Kim, Tracey Ho, Michelle Effros, Salman Avestimehr:
Network error correction with unequal link capacities. Allerton 2009: 1387-1394 - [c12]M. Amin Khajehnejad, Weiyu Xu, Amir Salman Avestimehr, Babak Hassibi:
Weighted ℓ1 minimization for sparse recovery with prior information. ISIT 2009: 483-487 - [c11]Asaf Cohen, Amir Salman Avestimehr, Michelle Effros:
On networks with side information. ISIT 2009: 1343-1347 - [c10]Babak Hassibi, Aydin Sezgin, M. Amin Khajehnejad, Amir Salman Avestimehr:
Approximate capacity region of the two-pair bidirectional Gaussian relay network. ISIT 2009: 2018-2022 - [c9]Amir Salman Avestimehr, M. Amin Khajehnejad, Aydin Sezgin, Babak Hassibi:
Capacity region of the deterministic multi-pair bi-directional relay network. ITW 2009: 57-61 - [c8]Amir Salman Avestimehr, Tracey Ho:
Approximate capacity of the symmetric half-duplex Gaussian butterfly network. ITW 2009: 311-315 - 2008
- [c7]Sameer Pawar, Amir Salman Avestimehr, David N. C. Tse:
Diversity-multiplexing tradeoff of the half-duplex relay channel. Allerton 2008: 27-33 - [c6]Amir Salman Avestimehr, Aydin Sezgin, David N. C. Tse:
Approximate capacity of the two-way relay channel: A deterministic approach. Allerton 2008: 1582-1589 - [c5]Amir Salman Avestimehr, Suhas N. Diggavi, David Tse:
Approximate capacity of Gaussian relay networks. ISIT 2008: 474-478 - 2007
- [c4]Amir Salman Avestimehr, Suhas N. Diggavi, David N. C. Tse:
A Deterministic Model for Wreless Relay Networks an its Capacity. ITW 2007: 1-6 - 2005
- [c3]Amir Salman Avestimehr, David N. C. Tse:
Outage-optimal relaying in the low SNR regime. ISIT 2005: 941-945 - [c2]Anant Sahai, Salman Avestimehr, Paolo Minero:
Anytime communication over the Gilbert-Eliot channel with noiseless feedback. ISIT 2005: 1783-1787 - 2003
- [c1]Amir Salman Avestimehr, Kambiz Nayebi, Shohreh Kasaei:
Multirate structures for arbitrary rate error control coding. ICASSP (4) 2003: 245-248
Informal and Other Publications
- 2024
- [i205]Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr:
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs. CoRR abs/2402.11756 (2024) - [i204]Yue Niu, Saurav Prakash, Salman Avestimehr:
ATP: Enabling Fast LLM Serving via Attention on Top Principal Keys. CoRR abs/2403.02352 (2024) - [i203]Lei Gao, Yue Niu, Tingting Tang, Salman Avestimehr, Murali Annavaram:
Ethos: Rectifying Language Models in Orthogonal Parameter Space. CoRR abs/2403.08994 (2024) - [i202]Tingting Tang, Yue Niu, Salman Avestimehr, Murali Annavaram:
Edge Private Graph Neural Networks with Singular Value Perturbation. CoRR abs/2403.10995 (2024) - [i201]Hamza Saleem, Amir Ziashahabi, Muhammad Naveed, Salman Avestimehr:
Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation. CoRR abs/2403.17296 (2024) - [i200]Joshua C. Zhao, Saurabh Bagchi, Salman Avestimehr, Kevin S. Chan, Somali Chaterji, Dimitris Dimitriadis, Jiacheng Li, Ninghui Li, Arash Nourian, Holger R. Roth:
Federated Learning Privacy: Attacks, Defenses, Applications, and Policy Landscape - A Survey. CoRR abs/2405.03636 (2024) - [i199]Tuo Zhang, Jinyue Yuan, Salman Avestimehr:
Revisiting OPRO: The Limitations of Small-Scale LLMs as Optimizers. CoRR abs/2405.10276 (2024) - [i198]Mengwei Yang, Ismat Jarin, Baturalp Buyukates, Salman Avestimehr, Athina Markopoulou:
Maverick-Aware Shapley Valuation for Client Selection in Federated Learning. CoRR abs/2405.12590 (2024) - [i197]Tuo Zhang, Tiantian Feng, Yibin Ni, Mengqin Cao, Ruying Liu, Katharine Butler, Yanjun Weng, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr:
Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art Understanding. CoRR abs/2406.10318 (2024) - [i196]Duygu Nur Yaldiz, Yavuz Faruk Bakman, Baturalp Buyukates, Chenyang Tao, Anil Ramakrishna, Dimitrios Dimitriadis, Salman Avestimehr:
Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs. CoRR abs/2406.11278 (2024) - [i195]Sunwoo Lee, Tuo Zhang, Saurav Prakash, Yue Niu, Salman Avestimehr:
Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training. CoRR abs/2406.15125 (2024) - [i194]Erum Mushtaq, Duygu Nur Yaldiz, Yavuz Faruk Bakman, Jie Ding, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr:
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning. CoRR abs/2407.12188 (2024) - [i193]Asal Mehradfar, Xuzhe Zhao, Yue Niu, Sara Babakniya, Mahdi Alesheikh, Hamidreza Aghasi, Salman Avestimehr:
AICircuit: A Multi-Level Dataset and Benchmark for AI-Driven Analog Integrated Circuit Design. CoRR abs/2407.18272 (2024) - [i192]Yuhang Yao, Han Jin, Alay Dilipbhai Shah, Shanshan Han, Zijian Hu, Yide Ran, Dimitris Stripelis, Zhaozhuo Xu, Salman Avestimehr, Chaoyang He:
ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency. CoRR abs/2408.00008 (2024) - [i191]Dimitris Stripelis, Zijian Hu, Jipeng Zhang, Zhaozhuo Xu, Alay Dilipbhai Shah, Han Jin, Yuhang Yao, Salman Avestimehr, Chaoyang He:
PolyRouter: A Multi-LLM Querying System. CoRR abs/2408.12320 (2024) - [i190]Tiantian Feng, Tuo Zhang, Salman Avestimehr, Shrikanth S. Narayanan:
ModalityMirror: Improving Audio Classification in Modality Heterogeneity Federated Learning with Multimodal Distillation. CoRR abs/2408.15803 (2024) - [i189]Lei Gao, Amir Ziashahabi, Yue Niu, Salman Avestimehr, Murali Annavaram:
Enabling Resource-Efficient On-Device Fine-Tuning of LLMs Using Only Inference Engines. CoRR abs/2409.15520 (2024) - 2023
- [i188]Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Shanshan Han, Shantanu Sharma, Chaoyang He, Sharad Mehrotra, Salman Avestimehr:
Federated Analytics: A survey. CoRR abs/2302.01326 (2023) - [i187]Baturalp Buyukates, Chaoyang He, Shanshan Han, Zhiyong Fang, Yupeng Zhang, Jieyi Long, Ali Farahanchi, Salman Avestimehr:
Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain. CoRR abs/2302.14031 (2023) - [i186]Zhenheng Tang, Xiaowen Chu, Ryan Yide Ran, Sunwoo Lee, Shaohuai Shi, Yonggang Zhang, Yuxin Wang, Alex Qiaozhong Liang, Salman Avestimehr, Chaoyang He:
FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training. CoRR abs/2303.01778 (2023) - [i185]Weizhao Jin, Yuhang Yao, Shanshan Han, Carlee Joe-Wong, Srivatsan Ravi, Salman Avestimehr, Chaoyang He:
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System. CoRR abs/2303.10837 (2023) - [i184]Joshua C. Zhao, Atul Sharma, Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Salman Avestimehr, Saurabh Bagchi:
Secure Aggregation in Federated Learning is not Private: Leaking User Data at Large Scale through Model Modification. CoRR abs/2303.12233 (2023) - [i183]Joshua C. Zhao, Ahmed Roushdy Elkordy, Atul Sharma, Yahya H. Ezzeldin, Salman Avestimehr, Saurabh Bagchi:
The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning. CoRR abs/2303.14868 (2023) - [i182]Duygu Nur Yaldiz, Tuo Zhang, Salman Avestimehr:
Secure Federated Learning against Model Poisoning Attacks via Client Filtering. CoRR abs/2304.00160 (2023) - [i181]Tuo Zhang, Lei Gao, Sunwoo Lee, Mi Zhang, Salman Avestimehr:
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training. CoRR abs/2304.06947 (2023) - [i180]Erum Mushtaq, Yavuz Faruk Bakman, Jie Ding, Salman Avestimehr:
Federated Alternate Training (FAT): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging. CoRR abs/2304.09327 (2023) - [i179]Tuo Zhang, Tiantian Feng, Samiul Alam, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr:
GPT-FL: Generative Pre-trained Model-Assisted Federated Learning. CoRR abs/2306.02210 (2023) - [i178]Shanshan Han, Baturalp Buyukates, Zijian Hu, Han Jin, Weizhao Jin, Lichao Sun, Xiaoyang Wang, Chulin Xie, Kai Zhang, Qifan Zhang, Yuhui Zhang, Chaoyang He, Salman Avestimehr:
FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs. CoRR abs/2306.04959 (2023) - [i177]Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan:
FedMultimodal: A Benchmark For Multimodal Federated Learning. CoRR abs/2306.09486 (2023) - [i176]Sara Babakniya, Zalan Fabian, Chaoyang He, Mahdi Soltanolkotabi, Salman Avestimehr:
Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory. CoRR abs/2307.00497 (2023) - [i175]Yue Niu, Zalan Fabian, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr:
mL-BFGS: A Momentum-based L-BFGS for Distributed Large-Scale Neural Network Optimization. CoRR abs/2307.13744 (2023) - [i174]Sara Babakniya, Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Qingfeng Liu, Kee-Bong Song, Mostafa El-Khamy, Salman Avestimehr:
SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models. CoRR abs/2308.06522 (2023) - [i173]Yavuz Faruk Bakman, Duygu Nur Yaldiz, Yahya H. Ezzeldin, Salman Avestimehr:
Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning. CoRR abs/2309.01289 (2023) - [i172]Samiul Alam, Tuo Zhang, Tiantian Feng, Hui Shen, Zhichao Cao, Dong Zhao, JeongGil Ko, Kiran Somasundaram, Shrikanth S. Narayanan, Salman Avestimehr, Mi Zhang:
FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things. CoRR abs/2310.00109 (2023) - [i171]Shanshan Han, Wenxuan Wu, Baturalp Buyukates, Weizhao Jin, Yuhang Yao, Qifan Zhang, Salman Avestimehr, Chaoyang He:
Kick Bad Guys Out! Zero-Knowledge-Proof-Based Anomaly Detection in Federated Learning. CoRR abs/2310.04055 (2023) - [i170]Sara Babakniya, Zalan Fabian, Chaoyang He, Mahdi Soltanolkotabi, Salman Avestimehr:
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks. CoRR abs/2311.07784 (2023) - [i169]Yue Niu, Ramy E. Ali, Saurav Prakash, Salman Avestimehr:
All Rivers Run to the Sea: Private Learning with Asymmetric Flows. CoRR abs/2312.05264 (2023) - 2022
- [i168]Sunwoo Lee, Anit Kumar Sahu, Chaoyang He, Salman Avestimehr:
Partial Model Averaging in Federated Learning: Performance Guarantees and Benefits. CoRR abs/2201.03789 (2022) - [i167]Jie Ding, Eric W. Tramel, Anit Kumar Sahu, Shuang Wu, Salman Avestimehr, Tao Zhang:
Federated Learning Challenges and Opportunities: An Outlook. CoRR abs/2202.00807 (2022) - [i166]Jinhyun So, Kevin Hsieh, Behnaz Arzani, Shadi A. Noghabi, Salman Avestimehr, Ranveer Chandra:
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations. CoRR abs/2202.01267 (2022) - [i165]Christophe Dupuy, Tanya G. Roosta, Leo Long, Clement Chung, Rahul Gupta, Salman Avestimehr:
Learnings from Federated Learning in the Real world. CoRR abs/2202.03925 (2022) - [i164]Gökberk Elmas, Salman Ul Hassan Dar, Yilmaz Korkmaz, Emir Ceyani, Burak Susam, Muzaffer Özbey, Salman Avestimehr, Tolga Çukur:
Federated Learning of Generative Image Priors for MRI Reconstruction. CoRR abs/2202.04175 (2022) - [i163]Huili Chen, Jie Ding, Eric W. Tramel, Shuang Wu, Anit Kumar Sahu, Salman Avestimehr, Tao Zhang:
Self-Aware Personalized Federated Learning. CoRR abs/2204.08069 (2022) - [i162]Rahul Sharma, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta:
Federated Learning with Noisy User Feedback. CoRR abs/2205.03092 (2022) - [i161]Romain Cosentino, Anirvan M. Sengupta, Salman Avestimehr, Mahdi Soltanolkotabi, Antonio Ortega, Theodore L. Willke, Mariano Tepper:
Toward a Geometrical Understanding of Self-supervised Contrastive Learning. CoRR abs/2205.06926 (2022) - [i160]Songze Li, Sizai Hou, Baturalp Buyukates, Salman Avestimehr:
Secure Federated Clustering. CoRR abs/2205.15564 (2022) - [i159]Onat Dalmaz, Muhammad Usama Mirza, Gökberk Elmas, Muzaffer Özbey, Salman Ul Hassan Dar, Emir Ceyani, Salman Avestimehr, Tolga Çukur:
One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis. CoRR abs/2207.06509 (2022) - [i158]Ahmed Roushdy Elkordy, Jiang Zhang, Yahya H. Ezzeldin, Konstantinos Psounis, Salman Avestimehr:
How Much Privacy Does Federated Learning with Secure Aggregation Guarantee? CoRR abs/2208.02304 (2022) - [i157]Sara Babakniya, Souvik Kundu, Saurav Prakash, Yue Niu, Salman Avestimehr:
Federated Sparse Training: Lottery Aware Model Compression for Resource Constrained Edge. CoRR abs/2208.13092 (2022) - [i156]Yue Niu, Saurav Prakash, Souvik Kundu, Sunwoo Lee, Salman Avestimehr:
Federated Learning of Large Models at the Edge via Principal Sub-Model Training. CoRR abs/2208.13141 (2022) - [i155]Romain Cosentino, Sarath Shekkizhar, Mahdi Soltanolkotabi, Salman Avestimehr, Antonio Ortega:
The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning. CoRR abs/2209.08622 (2022) - [i154]Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux:
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. CoRR abs/2210.04620 (2022) - [i153]Tuo Zhang, Tiantian Feng, Samiul Alam, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr:
FedAudio: A Federated Learning Benchmark for Audio Tasks. CoRR abs/2210.15707 (2022) - [i152]Chaoyang He, Shuai Zheng, Aston Zhang, George Karypis, Trishul Chilimbi, Mahdi Soltanolkotabi, Salman Avestimehr:
SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing. CoRR abs/2212.05191 (2022) - [i151]Songze Li, Sizai Hou, Baturalp Buyukates, Salman Avestimehr:
Secure Federated Clustering. IACR Cryptol. ePrint Arch. 2022: 682 (2022) - 2021
- [i150]Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, Amir Salman Avestimehr:
List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier. CoRR abs/2101.11653 (2021) - [i149]Chaoyang He, Shen Li, Mahdi Soltanolkotabi, Salman Avestimehr:
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers. CoRR abs/2102.03161 (2021) - [i148]Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr:
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks. CoRR abs/2104.07145 (2021) - [i147]Bill Yuchen Lin, Chaoyang He, Zihang Zeng, Hulin Wang, Yufen Huang, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr:
FedNLP: A Research Platform for Federated Learning in Natural Language Processing. CoRR abs/2104.08815 (2021) - [i146]Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr:
SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks. CoRR abs/2106.02743 (2021) - [i145]Jinhyun So, Ramy E. Ali, Basak Guler, Jiantao Jiao, Salman Avestimehr:
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning. CoRR abs/2106.03328 (2021) - [i144]Tuo Zhang, Chaoyang He, Tianhao Ma, Mark Ma, Salman Avestimehr:
Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection. CoRR abs/2106.07976 (2021) - [i143]Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu:
A Field Guide to Federated Optimization. CoRR abs/2107.06917 (2021) - [i142]Tingting Tang, Ramy E. Ali, Hanieh Hashemi, Tynan Gangwani, Salman Avestimehr, Murali Annavaram:
Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning. CoRR abs/2107.12958 (2021) - [i141]Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian:
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges. CoRR abs/2108.00026 (2021) - [i140]Ahmed Roushdy Elkordy, Saurav Prakash, Amir Salman Avestimehr:
Basil: A Fast and Byzantine-Resilient Approach for Decentralized Training. CoRR abs/2109.07706 (2021) - [i139]Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, Amir Salman Avestimehr:
ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems. CoRR abs/2109.09868 (2021) - [i138]Chien-Sheng Yang, Jinhyun So, Chaoyang He, Songze Li, Qian Yu, Salman Avestimehr:
LightSecAgg: Rethinking Secure Aggregation in Federated Learning. CoRR abs/2109.14236 (2021) - [i137]Yahya H. Ezzeldin, Shen Yan, Chaoyang He, Emilio Ferrara, Salman Avestimehr:
FairFed: Enabling Group Fairness in Federated Learning. CoRR abs/2110.00857 (2021) - [i136]Yue Niu, Ramy E. Ali, Salman Avestimehr:
AsymML: An Asymmetric Decomposition Framework for Privacy-Preserving DNN Training and Inference. CoRR abs/2110.01229 (2021) - [i135]Jinhyun So, Ramy E. Ali, Basak Güler, Amir Salman Avestimehr:
Secure Aggregation for Buffered Asynchronous Federated Learning. CoRR abs/2110.02177 (2021) - [i134]Chaoyang He, Zhengyu Yang, Erum Mushtaq, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr:
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision. CoRR abs/2110.02470 (2021) - [i133]Sunwoo Lee, Tuo Zhang, Chaoyang He, Salman Avestimehr:
Layer-wise Adaptive Model Aggregation for Scalable Federated Learning. CoRR abs/2110.10302 (2021) - [i132]Tuo Zhang, Lei Gao, Chaoyang He, Mi Zhang, Bhaskar Krishnamachari, Salman Avestimehr:
Federated Learning for Internet of Things: Applications, Challenges, and Opportunities. CoRR abs/2111.07494 (2021) - [i131]Chaoyang He, Alay Dilipbhai Shah, Zhenheng Tang, Di Fan, Adarshan Naiynar Sivashunmugam, Keerti Bhogaraju, Mita Shimpi, Li Shen, Xiaowen Chu, Mahdi Soltanolkotabi, Salman Avestimehr:
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks. CoRR abs/2111.11066 (2021) - [i130]Erum Mushtaq, Chaoyang He, Jie Ding, Salman Avestimehr:
SPIDER: Searching Personalized Neural Architecture for Federated Learning. CoRR abs/2112.13939 (2021) - [i129]Jinhyun So, Ramy E. Ali, Basak Guler, Jiantao Jiao, Salman Avestimehr:
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning. IACR Cryptol. ePrint Arch. 2021: 771 (2021) - 2020
- [i128]Qian Yu, Amir Salman Avestimehr:
Entangled Polynomial Codes for Secure, Private, and Batch Distributed Matrix Multiplication: Breaking the "Cubic" Barrier. CoRR abs/2001.05101 (2020) - [i127]Chien-Sheng Yang, Amir Salman Avestimehr:
Coded Computing for Boolean Functions. CoRR abs/2001.08720 (2020) - [i126]Saeid Sahraei, Salman Avestimehr:
InfoCommit: Information-Theoretic Polynomial Commitment and Verification. CoRR abs/2002.00559 (2020) - [i125]Jinhyun So, Basak Guler, Amir Salman Avestimehr:
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning. CoRR abs/2002.04156 (2020) - [i124]Chaoyang He, Murali Annavaram, Salman Avestimehr:
FedNAS: Federated Deep Learning via Neural Architecture Search. CoRR abs/2004.08546 (2020) - [i123]Seyed Mohammadreza Mousavi Kalan, Zalan Fabian, Amir Salman Avestimehr, Mahdi Soltanolkotabi:
Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks. CoRR abs/2006.10581 (2020) - [i122]Saurav Prakash, Sagar Dhakal, Mustafa Riza Akdeniz, Amir Salman Avestimehr, Nageen Himayat:
Coded Computing for Federated Learning at the Edge. CoRR abs/2007.03273 (2020) - [i121]Mahdi Soleymani, Hessam Mahdavifar, Amir Salman Avestimehr:
Privacy-Preserving Distributed Learning in the Analog Domain. CoRR abs/2007.08803 (2020) - [i120]Jinhyun So, Basak Guler, Amir Salman Avestimehr:
Byzantine-Resilient Secure Federated Learning. CoRR abs/2007.11115 (2020) - [i119]Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr:
FedML: A Research Library and Benchmark for Federated Machine Learning. CoRR abs/2007.13518 (2020) - [i118]Chaoyang He, Murali Annavaram, Salman Avestimehr:
Group Knowledge Transfer: Collaborative Training of Large CNNs on the Edge. CoRR abs/2007.14513 (2020) - [i117]Mahdi Soleymani, Hessam Mahdavifar, Amir Salman Avestimehr:
Analog Lagrange Coded Computing. CoRR abs/2008.08565 (2020) - [i116]Ahmed Roushdy Elkordy, Amir Salman Avestimehr:
Secure Aggregation with Heterogeneous Quantization in Federated Learning. CoRR abs/2009.14388 (2020) - [i115]Saurav Prakash, Amir Salman Avestimehr:
Mitigating Byzantine Attacks in Federated Learning. CoRR abs/2010.07541 (2020) - [i114]Jinhyun So, Basak Guler, Amir Salman Avestimehr:
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning. CoRR abs/2011.01963 (2020) - [i113]Ramy E. Ali, Jinhyun So, Amir Salman Avestimehr:
On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks. CoRR abs/2011.05530 (2020) - [i112]Saurav Prakash, Sagar Dhakal, Mustafa Riza Akdeniz, Yair Yona, Shilpa Talwar, Salman Avestimehr, Nageen Himayat:
Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks. CoRR abs/2011.06223 (2020) - [i111]Saeid Sahraei, Salman Avestimehr:
InfoCommit: Information-Theoretic Polynomial Commitment and Verification. IACR Cryptol. ePrint Arch. 2020: 118 (2020) - [i110]Jinhyun So, Basak Guler, Amir Salman Avestimehr:
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning. IACR Cryptol. ePrint Arch. 2020: 167 (2020) - 2019
- [i109]Saeid Sahraei, Amir Salman Avestimehr:
INTERPOL: Information Theoretically Verifiable Polynomial Evaluation. CoRR abs/1901.03379 (2019) - [i108]Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr:
Fitting ReLUs via SGD and Quantized SGD. CoRR abs/1901.06587 (2019) - [i107]Jinhyun So, Basak Guler, Amir Salman Avestimehr, Payman Mohassel:
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning. CoRR abs/1902.00641 (2019) - [i106]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr:
CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning. CoRR abs/1902.01981 (2019) - [i105]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Timely-Throughput Optimal Coded Computing over Cloud Networks. CoRR abs/1904.05522 (2019) - [i104]Krishna Narra, Zhifeng Lin, Mehrdad Kiamari, Salman Avestimehr, Murali Annavaram:
Distributed Matrix Multiplication Using Speed Adaptive Coding. CoRR abs/1904.07098 (2019) - [i103]Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram:
Collage Inference: Tolerating Stragglers in Distributed Neural Network Inference using Coding. CoRR abs/1904.12222 (2019) - [i102]Qian Yu, Amir Salman Avestimehr:
Harmonic Coding: An Optimal Linear Code for Privacy-Preserving Gradient-Type Computation. CoRR abs/1904.13206 (2019) - [i101]Krishna Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram:
Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models. CoRR abs/1906.03999 (2019) - [i100]Songze Li, Saeid Sahraei, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
Coded State Machine - Scaling State Machine Execution under Byzantine Faults. CoRR abs/1906.10817 (2019) - [i99]Saeid Sahraei, Mohammad Ali Maddah-Ali, Salman Avestimehr:
Interactive Verifiable Polynomial Evaluation. CoRR abs/1907.04302 (2019) - [i98]Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
Coded Merkle Tree: Solving Data Availability Attacks in Blockchains. CoRR abs/1910.01247 (2019) - [i97]Zhifeng Lin, Krishna Giri Narra, Mingchao Yu, Salman Avestimehr, Murali Annavaram:
Train Where the Data is: A Case for Bandwidth Efficient Coded Training. CoRR abs/1910.10283 (2019) - [i96]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Edge Computing in the Dark: Leveraging Contextual-Combinatorial Bandit and Coded Computing. CoRR abs/1912.09512 (2019) - [i95]Pradipta Ghosh, Quynh Nguyen, Pranav K. Sakulkar, Aleksandra Knezevic, Jason A. Tran, Jiatong Wang, Zhifeng Lin, Bhaskar Krishnamachari, Murali Annavaram, Salman Avestimehr:
Jupiter: A Networked Computing Architecture. CoRR abs/1912.10643 (2019) - [i94]Jinhyun So, Basak Guler, Amir Salman Avestimehr, Payman Mohassel:
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning. IACR Cryptol. ePrint Arch. 2019: 140 (2019) - [i93]Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
Coded Merkle Tree: Solving Data Availability Attacks in Blockchains. IACR Cryptol. ePrint Arch. 2019: 1139 (2019) - 2018
- [i92]Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Salman Avestimehr:
Coded Computing for Distributed Graph Analytics. CoRR abs/1801.05522 (2018) - [i91]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Straggler Mitigation in Distributed Matrix Multiplication: Fundamental Limits and Optimal Coding. CoRR abs/1801.07487 (2018) - [i90]Amir Salman Avestimehr, Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi:
Fundamental Resource Trade-offs for Encoded Distributed Optimization. CoRR abs/1804.00217 (2018) - [i89]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Communication-Aware Scheduling of Serial Tasks for Dispersed Computing. CoRR abs/1804.06468 (2018) - [i88]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Compressed Coded Distributed Computing. CoRR abs/1805.01993 (2018) - [i87]Songze Li, Seyed Mohammadreza Mousavi Kalan, Qian Yu, Mahdi Soltanolkotabi, Amir Salman Avestimehr:
Polynomially Coded Regression: Optimal Straggler Mitigation via Data Encoding. CoRR abs/1805.09934 (2018) - [i86]Qian Yu, Netanel Raviv, Jinhyun So, Amir Salman Avestimehr:
Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy. CoRR abs/1806.00939 (2018) - [i85]Songze Li, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. CoRR abs/1809.10361 (2018) - [i84]Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr:
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. CoRR abs/1811.03617 (2018) - [i83]Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander G. Schwing:
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training. CoRR abs/1811.03619 (2018) - [i82]Songze Li, Mingchao Yu, Amir Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. IACR Cryptol. ePrint Arch. 2018: 925 (2018) - 2017
- [i81]Amirhossein Reisizadehmobarakeh, Saurav Prakash, Ramtin Pedarsani, Salman Avestimehr:
Coded Computation over Heterogeneous Clusters. CoRR abs/1701.05973 (2017) - [i80]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Characterizing the Rate-Memory Tradeoff in Cache Networks within a Factor of 2. CoRR abs/1702.04563 (2017) - [i79]Songze Li, Sucha Supittayapornpong, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Coded TeraSort. CoRR abs/1702.04850 (2017) - [i78]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Coding for Distributed Fog Computing. CoRR abs/1702.06082 (2017) - [i77]Qian Yu, Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
How to Optimally Allocate Resources for Coded Distributed Computing? CoRR abs/1702.07297 (2017) - [i76]Mehrdad Kiamari, Amir Salman Avestimehr:
Capacity Region of the Symmetric Injective K-User Deterministic Interference Channel. CoRR abs/1705.00412 (2017) - [i75]Aamir Anis, Aly El Gamal, Salman Avestimehr, Antonio Ortega:
A Sampling Theory Perspective of Graph-based Semi-supervised Learning. CoRR abs/1705.09518 (2017) - [i74]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication. CoRR abs/1705.10464 (2017) - [i73]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Communication-Aware Computing for Edge Processing. CoRR abs/1706.07523 (2017) - [i72]Navid Azizan Ruhi, Farshad Lahouti, Salman Avestimehr, Babak Hassibi:
Distributed Solution of Large-Scale Linear Systems via Accelerated Projection-Based Consensus. CoRR abs/1708.01413 (2017) - [i71]Mehrdad Kiamari, Chenwei Wang, Amir Salman Avestimehr, Haralabos C. Papadopoulos:
SINR-Threshold Scheduling with Binary Power Control for D2D Networks. CoRR abs/1708.09596 (2017) - [i70]Mehrdad Kiamari, Chenwei Wang, Amir Salman Avestimehr:
On Heterogeneous Coded Distributed Computing. CoRR abs/1709.00196 (2017) - [i69]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Coded Fourier Transform. CoRR abs/1710.06471 (2017) - [i68]Songze Li, Seyed Mohammadreza Mousavi Kalan, Amir Salman Avestimehr, Mahdi Soltanolkotabi:
Near-Optimal Straggler Mitigation for Distributed Gradient Methods. CoRR abs/1710.09990 (2017) - [i67]Seyed Mohammad Asghari, Yi Ouyang, Ashutosh Nayyar, Amir Salman Avestimehr:
Optimal Coded Multicast in Cache Networks with Arbitrary Content Placement. CoRR abs/1710.10718 (2017) - 2016
- [i66]Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Fundamental Limits of Cache-Aided Interference Management. CoRR abs/1602.04207 (2016) - [i65]Songze Li, Mohammad Ali Maddah-Ali, Qian Yu, Amir Salman Avestimehr:
A Fundamental Tradeoff between Computation and Communication in Distributed Computing. CoRR abs/1604.07086 (2016) - [i64]Heecheol Yang, Navid Naderializadeh, Amir Salman Avestimehr, Jungwoo Lee:
Topological Interference Management with Reconfigurable Antennas. CoRR abs/1605.01473 (2016) - [i63]Akshay Gadde, Eyal En Gad, Salman Avestimehr, Antonio Ortega:
Active Learning for Community Detection in Stochastic Block Models. CoRR abs/1605.02372 (2016) - [i62]Eyal En Gad, Akshay Gadde, Amir Salman Avestimehr, Antonio Ortega:
Active Learning On Weighted Graphs Using Adaptive And Non-adaptive Approaches. CoRR abs/1605.05710 (2016) - [i61]Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
A Scalable Framework for Wireless Distributed Computing. CoRR abs/1608.05743 (2016) - [i60]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
A Unified Coding Framework for Distributed Computing with Straggling Servers. CoRR abs/1609.01690 (2016) - [i59]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
The Exact Rate-Memory Tradeoff for Caching with Uncoded Prefetching. CoRR abs/1609.07817 (2016) - 2015
- [i58]Aly El Gamal, Navid Naderializadeh, Amir Salman Avestimehr:
When Does an Ensemble of Matrices with Randomly Scaled Rows Lose Rank? CoRR abs/1501.07544 (2015) - [i57]Navid Naderializadeh, Aly El Gamal, Amir Salman Avestimehr:
Topological Interference Management with just Retransmission: What are the "Best" Topologies? CoRR abs/1502.03147 (2015) - [i56]Aamir Anis, Aly El Gamal, Amir Salman Avestimehr, Antonio Ortega:
Asymptotic Justification of Bandlimited Interpolation of Graph signals for Semi-Supervised Learning. CoRR abs/1502.04248 (2015) - [i55]Sina Lashgari, Ravi Tandon, Salman Avestimehr:
MISO Broadcast Channel with Hybrid CSIT: Beyond Two Users. CoRR abs/1504.04615 (2015) - [i54]Songze Li, David T. H. Kao, Amir Salman Avestimehr:
Rover-to-Orbiter Communication in Mars: Taking Advantage of the Varying Topology. CoRR abs/1504.04797 (2015) - [i53]David T. H. Kao, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Blind Index Coding. CoRR abs/1504.06018 (2015) - [i52]Mehrdad Kiamari, Amir Salman Avestimehr:
Are Generalized Cut-Set Bounds Tight for the Deterministic Interference Channel? CoRR abs/1510.03951 (2015) - [i51]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Coded MapReduce. CoRR abs/1512.01625 (2015) - 2014
- [i50]Ilan Shomorony, Amir Salman Avestimehr:
A Generalized Cut-Set Bound for Deterministic Multi-Flow Networks and its Applications. CoRR abs/1404.4995 (2014) - [i49]Alireza Vahid, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Binary Fading Interference Channel with No CSIT. CoRR abs/1405.0203 (2014) - [i48]Sina Lashgari, Amir Salman Avestimehr:
Blind Wiretap Channel with Delayed CSIT. CoRR abs/1405.0521 (2014) - [i47]David T. H. Kao, Amir Salman Avestimehr:
Linear Degrees of Freedom of the MIMO X-Channel with Delayed CSIT. CoRR abs/1405.1091 (2014) - [i46]Alireza Vahid, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Approximate Capacity of the Two-User MISO Broadcast Channel with Delayed CSIT. CoRR abs/1405.1143 (2014) - [i45]Ilan Shomorony, Amir Salman Avestimehr:
Sampling Large Data on Graphs. CoRR abs/1411.3017 (2014) - 2013
- [i44]Alireza Vahid, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Capacity Results for Binary Fading Interference Channels with Delayed CSIT. CoRR abs/1301.5309 (2013) - [i43]Navid Naderializadeh, Amir Salman Avestimehr:
Interference Networks with No CSIT: Impact of Topology. CoRR abs/1302.0296 (2013) - [i42]Mohammad Javad Abdoli, Amir Salman Avestimehr:
Layered Interference Networks with Delayed CSI: DoF Scaling with Distributed Transmitters. CoRR abs/1302.4788 (2013) - [i41]Himanshu Asnani, Ilan Shomorony, Amir Salman Avestimehr, Tsachy Weissman:
Network Compression: Worst-Case Analysis. CoRR abs/1304.1828 (2013) - [i40]Raúl H. Etkin, Farzad Parvaresh, Ilan Shomorony, Amir Salman Avestimehr:
On Min-Cut Algorithms for Half-Duplex Relay Networks. CoRR abs/1305.2548 (2013) - [i39]Ibrahim Issa, Silas L. Fong, Amir Salman Avestimehr:
Two-Hop Interference Channels: Impact of Linear Time-Varying Schemes. CoRR abs/1305.3969 (2013) - [i38]Chunhua Geng, Navid Naderializadeh, Amir Salman Avestimehr, Syed Ali Jafar:
On the Optimality of Treating Interference as Noise. CoRR abs/1305.4610 (2013) - [i37]Anas Chaaban, Aydin Sezgin, Amir Salman Avestimehr:
Approximate Sum-Capacity of the Y-channel. CoRR abs/1305.5376 (2013) - [i36]Amandianeze O. Nwana, Salman Avestimehr, Tsuhan Chen:
A Latent Social Approach to YouTube Popularity Prediction. CoRR abs/1308.1418 (2013) - [i35]Sina Lashgari, Amir Salman Avestimehr, Changho Suh:
Linear Degrees of Freedom of the X-Channel with Delayed CSIT. CoRR abs/1309.0799 (2013) - [i34]Ibrahim Issa, Silas L. Fong, Amir Salman Avestimehr:
Two-Hop Interference Channels: Impact of Linear Schemes. CoRR abs/1309.0898 (2013) - [i33]Navid Naderializadeh, Amir Salman Avestimehr:
ITLinQ: A New Approach for Spectrum Sharing in Device-to-Device Communication Systems. CoRR abs/1311.5527 (2013) - [i32]Alireza Vahid, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Communication Through Collisions: Opportunistic Utilization of Past Receptions. CoRR abs/1312.0116 (2013) - 2012
- [i31]Sina Lashgari, Amir Salman Avestimehr:
Timely Throughput of Heterogeneous Wireless Networks: Fundamental Limits and Algorithms. CoRR abs/1201.5173 (2012) - [i30]Ilan Shomorony, Amir Salman Avestimehr:
Worst-Case Additive Noise in Wireless Networks. CoRR abs/1202.2687 (2012) - [i29]Ilan Shomorony, Raúl H. Etkin, Farzad Parvaresh, Amir Salman Avestimehr:
Diamond Networks with Bursty Traffic: Bounds on the Minimum Energy-Per-Bit. CoRR abs/1205.6186 (2012) - [i28]Ilan Shomorony, Amir Salman Avestimehr, Himanshu Asnani, Tsachy Weissman:
Worst-Case Source for Distributed Compression with Quadratic Distortion. CoRR abs/1208.1784 (2012) - [i27]Ilan Shomorony, Amir Salman Avestimehr:
Degrees of Freedom of Two-Hop Wireless Networks: "Everyone Gets the Entire Cake''. CoRR abs/1210.2143 (2012) - 2011
- [i26]Ilan Shomorony, Amir Salman Avestimehr:
Two-Unicast Wireless Networks: Characterizing the Sum Degrees of Freedom. CoRR abs/1102.2498 (2011) - [i25]Anas Chaaban, Aydin Sezgin, Amir Salman Avestimehr:
On the Sum Capacity of the Y-Channel. CoRR abs/1102.2787 (2011) - [i24]Theodoros K. Dikaliotis, Hongyi Yao, Amir Salman Avestimehr, Sidharth Jaggi, Tracey Ho:
Low-Complexity Near-Optimal Codes for Gaussian Relay Networks. CoRR abs/1102.5138 (2011) - [i23]Yue Zhao, Chee Wei Tan, Amir Salman Avestimehr, Suhas N. Diggavi, Gregory J. Pottie:
On the Sum-Capacity with Successive Decoding in Interference Channels. CoRR abs/1103.0038 (2011) - [i22]Alireza Vahid, Changho Suh, Amir Salman Avestimehr:
Interference Channels with Rate-Limited Feedback. CoRR abs/1103.5426 (2011) - [i21]Alireza Vahid, Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal:
Wireless Network Coding with Local Network Views: Coded Layer Scheduling. CoRR abs/1106.5742 (2011) - [i20]M. Amin Khajehnejad, Weiyu Xu, Amir Salman Avestimehr, Babak Hassibi:
Improving the Thresholds of Sparse Recovery: An Analysis of a Two-Step Reweighted Basis Pursuit Algorithm. CoRR abs/1111.1396 (2011) - 2010
- [i19]Aydin Sezgin, Amir Salman Avestimehr, M. Amin Khajehnejad, Babak Hassibi:
Divide-and-conquer: Approaching the capacity of the two-pair bidirectional Gaussian relay network. CoRR abs/1001.4271 (2010) - [i18]M. Amin Khajehnejad, Weiyu Xu, Amir Salman Avestimehr, Babak Hassibi:
Improved Sparse Recovery Thresholds with Two-Step Reweighted ℓ1 Minimization. CoRR abs/1004.0402 (2010) - [i17]Alireza Vahid, Amir Salman Avestimehr:
The Two-User Deterministic Interference Channel with Rate-Limited Feedback. CoRR abs/1004.5132 (2010) - [i16]Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal:
On Achieving Local View Capacity Via Maximal Independent Graph Scheduling. CoRR abs/1004.5588 (2010) - [i15]Aydin Sezgin, Holger Boche, Amir Salman Avestimehr:
Bidirectional multi-pair network with a MIMO relay: Beamforming strategies and lack of duality. CoRR abs/1008.2857 (2010) - [i14]M. Amin Khajehnejad, Weiyu Xu, Amir Salman Avestimehr, Babak Hassibi:
Analyzing Weighted ℓ1 Minimization for Sparse Recovery with Nonuniform Sparse Models. CoRR abs/1009.3525 (2010) - [i13]Alireza Vahid, Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal:
On the Capacity of Multi-Hop Wireless Networks with Partial Network Knowledge. CoRR abs/1010.1060 (2010) - [i12]Sukwon Kim, Tracey Ho, Michelle Effros, Amir Salman Avestimehr:
Network error correction with unequal link capacities. CoRR abs/1011.3870 (2010) - 2009
- [i11]M. Amin Khajehnejad, Weiyu Xu, Amir Salman Avestimehr, Babak Hassibi:
Weighted ℓ1 Minimization for Sparse Recovery with Prior Information. CoRR abs/0901.2912 (2009) - [i10]Amir Salman Avestimehr, M. Amin Khajehnejad, Aydin Sezgin, Babak Hassibi:
Capacity region of the deterministic multi-pair bi-directional relay network. CoRR abs/0903.2653 (2009) - [i9]Weiyu Xu, M. Amin Khajehnejad, Amir Salman Avestimehr, Babak Hassibi:
Breaking through the Thresholds: an Analysis for Iterative Reweighted ℓ1 Minimization via the Grassmann Angle Framework. CoRR abs/0904.0994 (2009) - [i8]Amir Salman Avestimehr, Suhas N. Diggavi, David N. C. Tse:
Wireless Network Information Flow: A Deterministic Approach. CoRR abs/0906.5394 (2009) - [i7]Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal:
Distributed Universally Optimal Strategies for Interference Channels with Partial Message Passing. CoRR abs/0910.3840 (2009) - 2008
- [i6]Amir Salman Avestimehr, Suhas N. Diggavi, David N. C. Tse:
Approximate Capacity of Gaussian Relay Networks. CoRR abs/0802.3535 (2008) - [i5]Amir Salman Avestimehr, Aydin Sezgin, David N. C. Tse:
Approximate capacity of the two-way relay channel: A deterministic approach. CoRR abs/0808.3145 (2008) - [i4]Sameer Pawar, Amir Salman Avestimehr, David N. C. Tse:
Diversity-Multiplexing Tradeoff of the Half-Duplex Relay Channel. CoRR abs/0810.2133 (2008) - 2007
- [i3]Amir Salman Avestimehr, Suhas N. Diggavi, David N. C. Tse:
A Deterministic Approach to Wireless Relay Networks. CoRR abs/0710.3777 (2007) - [i2]Amir Salman Avestimehr, Suhas N. Diggavi, David N. C. Tse:
Wireless Network Information Flow. CoRR abs/0710.3781 (2007) - 2006
- [i1]Amir Salman Avestimehr, David N. C. Tse:
Outage Capacity of the Fading Relay Channel in the Low SNR Regime. CoRR abs/cs/0602050 (2006)
Coauthor Index
Basak Guler
aka: Basak Güler
aka: Basak Güler
[j87] [j86] [j82] [j79] [c172] [c168] [c163] [c157] [c156] [c155] [c150] [c142] [c139] [c137] [c133] [c123] [i192] [i191] [i188] [i187] [i186] [i185] [i178] [i176] [i171] [i170] [i168] [i154] [i152] [i149] [i148] [i147] [i146] [i144] [i143] [i138] [i137] [i134] [i133] [i132] [i131] [i130] [i124] [i119] [i118]
[j59] [j58] [j56] [j43] [j41] [j33] [j32] [c143] [c131] [c128] [c120] [c109] [c105] [c101] [c99] [c98] [c95] [c91] [c90] [c84] [c81] [c80] [c79] [c78] [c77] [c74] [c71] [c64] [i160] [i151] [i138] [i119] [i100] [i98] [i93] [i88] [i87] [i85] [i84] [i83] [i82] [i79] [i78] [i77] [i73] [i68] [i65] [i61] [i60] [i54] [i51]
[j75] [j66] [j59] [j55] [j52] [j50] [j43] [j42] [j41] [j37] [j36] [j35] [j33] [j31] [j17] [c125] [c102] [c101] [c96] [c95] [c92] [c91] [c90] [c89] [c87] [c86] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [c74] [c72] [c71] [c68] [c62] [c56] [c52] [c50] [c48] [c34] [c28] [i99] [i91] [i88] [i80] [i79] [i78] [i77] [i74] [i73] [i69] [i66] [i65] [i61] [i60] [i59] [i53] [i51] [i49] [i46] [i44] [i32]
Amirhossein Reisizadeh
aka: Amirhossein Reisizadehmobarakeh
aka: Amirhossein Reisizadehmobarakeh
David Tse
aka: David N. C. Tse
aka: David N. C. Tse
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