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2020 – today
- 2023
[j61]Yao Ji, Gesualdo Scutari, Ying Sun, Harsha Honnappa:
Distributed Sparse Regression via Penalization. J. Mach. Learn. Res. 24: 272:1-272:62 (2023)- [j60]Vyacheslav Kungurtsev
, Mahdi Morafah, Tara Javidi, Gesualdo Scutari:
Decentralized Asynchronous Nonconvex Stochastic Optimization on Directed Graphs. IEEE Trans. Control. Netw. Syst. 10(4): 1796-1804 (2023) - [j59]Yao Ji, Gesualdo Scutari, Ying Sun, Harsha Honnappa:
Distributed (ATC) Gradient Descent for High Dimension Sparse Regression. IEEE Trans. Inf. Theory 69(8): 5253-5276 (2023) - [c72]Marie Maros, Gesualdo Scutari:
A Unified View of Decentralized Algorithms for Sparse Linear Regression. CAMSAP 2023: 471-475 - [c71]Marie Maros, Gesualdo Scutari:
Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence. NeurIPS 2023 - 2022
- [j58]Francisco Facchinei, Vyacheslav Kungurtsev, Lorenzo Lampariello, Gesualdo Scutari:
Diminishing stepsize methods for nonconvex composite problems via ghost penalties: from the general to the convex regular constrained case. Optim. Methods Softw. 37(4): 1242-1268 (2022) - [j57]Ying Sun, Gesualdo Scutari, Amir Daneshmand:
Distributed Optimization Based on Gradient Tracking Revisited: Enhancing Convergence Rate via Surrogation. SIAM J. Optim. 32(2): 354-385 (2022) - [j56]Konstantinos Slavakis, Gaurav N. Shetty, Loris Cannelli, Gesualdo Scutari, Ukash Nakarmi, Leslie Ying:
Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case. IEEE Trans. Computational Imaging 8: 133-147 (2022) - [j55]Nicolò Michelusi, Gesualdo Scutari, Chang-Shen Lee:
Finite-Bit Quantization for Distributed Algorithms With Linear Convergence. IEEE Trans. Inf. Theory 68(11): 7254-7280 (2022) - [c70]Ye Tian, Gesualdo Scutari, Tianyu Cao, Alexander V. Gasnikov:
Acceleration in Distributed Optimization under Similarity. AISTATS 2022: 5721-5756 - [c69]Dmitry Kovalev, Aleksandr Beznosikov, Ekaterina Borodich, Alexander V. Gasnikov, Gesualdo Scutari:
Optimal Gradient Sliding and its Application to Optimal Distributed Optimization Under Similarity. NeurIPS 2022 - [c68]Marie Maros, Gesualdo Scutari:
DGD^2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical Recovery. NeurIPS 2022 - [c67]Marie Maros, Gesualdo Scutari:
Acceleration in Distributed Sparse Regression. NeurIPS 2022 - [i52]Ying Sun, Marie Maros, Gesualdo Scutari, Guang Cheng:
High-Dimensional Inference over Networks: Linear Convergence and Statistical Guarantees. CoRR abs/2201.08507 (2022) - [i51]Dmitry Kovalev, Aleksandr Beznosikov, Ekaterina Borodich, Alexander V. Gasnikov, Gesualdo Scutari:
Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity. CoRR abs/2205.15136 (2022) - 2021
- [j54]Francisco Facchinei, Vyacheslav Kungurtsev, Lorenzo Lampariello, Gesualdo Scutari:
Ghost Penalties in Nonconvex Constrained Optimization: Diminishing Stepsizes and Iteration Complexity. Math. Oper. Res. 46(2): 595-627 (2021) - [j53]Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano:
Distributed Big-Data Optimization via Blockwise Gradient Tracking. IEEE Trans. Autom. Control. 66(5): 2045-2060 (2021) - [j52]Chang-Shen Lee, Nicolò Michelusi, Gesualdo Scutari:
Finite Rate Distributed Weight-Balancing and Average Consensus Over Digraphs. IEEE Trans. Autom. Control. 66(10): 4530-4545 (2021) - [j51]Loris Cannelli, Francisco Facchinei, Gesualdo Scutari, Vyacheslav Kungurtsev:
Asynchronous Optimization Over Graphs: Linear Convergence Under Error Bound Conditions. IEEE Trans. Autom. Control. 66(10): 4604-4619 (2021) - [j50]Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari:
Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis. IEEE Trans. Signal Process. 69: 3555-3570 (2021) - [c66]Artem Agafonov, Pavel E. Dvurechensky, Gesualdo Scutari, Alexander V. Gasnikov, Dmitry Kamzolov, Aleksandr Lukashevich, Amir Daneshmand:
An Accelerated Second-Order Method for Distributed Stochastic Optimization. CDC 2021: 2407-2413 - [c65]Amir Daneshmand, Gesualdo Scutari, Pavel E. Dvurechensky, Alexander V. Gasnikov:
Newton Method over Networks is Fast up to the Statistical Precision. ICML 2021: 2398-2409 - [c64]Aleksandr Beznosikov, Gesualdo Scutari, Alexander Rogozin, Alexander V. Gasnikov:
Distributed Saddle-Point Problems Under Data Similarity. NeurIPS 2021: 8172-8184 - [i50]Amir Daneshmand, Gesualdo Scutari, Pavel E. Dvurechensky, Alexander V. Gasnikov:
Newton Method over Networks is Fast up to the Statistical Precision. CoRR abs/2102.06780 (2021) - [i49]Aleksandr Beznosikov, Gesualdo Scutari, Alexander Rogozin, Alexander V. Gasnikov:
Distributed Saddle-Point Problems Under Similarity. CoRR abs/2107.10706 (2021) - [i48]Chang-Shen Lee, Nicolò Michelusi, Gesualdo Scutari:
Finite-Bit Quantization For Distributed Algorithms With Linear Convergence. CoRR abs/2107.11304 (2021) - [i47]Ye Tian, Gesualdo Scutari, Tianyu Cao, Alexander V. Gasnikov:
Acceleration in Distributed Optimization Under Similarity. CoRR abs/2110.12347 (2021) - [i46]Yao Ji, Gesualdo Scutari, Ying Sun, Harsha Honnappa:
Distributed Sparse Regression via Penalization. CoRR abs/2111.06530 (2021) - 2020
- [j49]Loris Cannelli, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari:
Asynchronous parallel algorithms for nonconvex optimization. Math. Program. 184(1): 121-154 (2020) - [j48]Saurabh Bagchi, Vaneet Aggarwal, Somali Chaterji, Fred Douglis, Aly El Gamal, Jiawei Han, Brian J. Henz, Henry Hoffmann, Suman Jana, Milind Kulkarni, Felix Xiaozhu Lin, Karen B. Marais, Prateek Mittal, Shaoshuai Mou, Xiaokang Qiu, Gesualdo Scutari:
Vision Paper: Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures. IEEE Open J. Comput. Soc. 1: 155-172 (2020) - [j47]Amir Daneshmand, Gesualdo Scutari, Vyacheslav Kungurtsev:
Second-Order Guarantees of Distributed Gradient Algorithms. SIAM J. Optim. 30(4): 3029-3068 (2020) - [j46]Anthony Man-Cho So, Prateek Jain, Wing-Kin Ma, Gesualdo Scutari:
Nonconvex Optimization for Signal Processing and Machine Learning [From the Guest Editors]. IEEE Signal Process. Mag. 37(5): 15-17 (2020) - [j45]Ye Tian, Ying Sun, Gesualdo Scutari:
Achieving Linear Convergence in Distributed Asynchronous Multiagent Optimization. IEEE Trans. Autom. Control. 65(12): 5264-5279 (2020) - [j44]Gaurav N. Shetty, Konstantinos Slavakis, Abhishek Bose, Ukash Nakarmi, Gesualdo Scutari, Leslie Ying:
Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery. IEEE Trans. Medical Imaging 39(3): 688-702 (2020) - [c63]Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari:
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks. AISTATS 2020: 2381-2391 - [c62]Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari:
A Unified Algorithmic Framework for Distributed Composite Optimization. CDC 2020: 2309-2316 - [c61]Gaurav N. Shetty, Konstantinos Slavakis, Ukash Nakarmi, Gesualdo Scutari, Leslie Ying:
Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case. EUSIPCO 2020: 1482-1486 - [i45]Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari:
Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis. CoRR abs/2002.11534 (2020) - [i44]Gaurav N. Shetty, Konstantinos Slavakis, Ukash Nakarmi, Gesualdo Scutari, Leslie Ying:
Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case. CoRR abs/2002.11885 (2020)
2010 – 2019
- 2019
- [j43]Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei, Brian M. Sadler:
Decentralized Dictionary Learning Over Time-Varying Digraphs. J. Mach. Learn. Res. 20: 139:1-139:62 (2019) - [j42]Gesualdo Scutari, Ying Sun:
Distributed nonconvex constrained optimization over time-varying digraphs. Math. Program. 176(1-2): 497-544 (2019) - [c60]Jinming Xu, Ying Sun, Ye Tian, Gesualdo Scutari:
A Unified Contraction Analysis of a Class of Distributed Algorithms for Composite Optimization. CAMSAP 2019: 485-489 - [i43]Chang-Shen Lee, Nicolò Michelusi, Gesualdo Scutari:
Finite rate distributed weight-balancing and average consensus over digraphs. CoRR abs/1901.00611 (2019) - [i42]Ying Sun, Amir Daneshmand, Gesualdo Scutari:
Convergence Rate of Distributed Optimization Algorithms Based on Gradient Tracking. CoRR abs/1905.02637 (2019) - [i41]Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari:
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks. CoRR abs/1910.10666 (2019) - [i40]Saurabh Bagchi, Vaneet Aggarwal, Somali Chaterji, Fred Douglis, Aly El Gamal, Jiawei Han, Brian J. Henz, Hank Hoffmann, Suman Jana, Milind Kulkarni, Felix Xiaozhu Lin, Karen B. Marais, Prateek Mittal, Shaoshuai Mou, Xiaokang Qiu, Gesualdo Scutari:
Grand Challenges of Resilience: Autonomous System Resilience through Design and Runtime Measures. CoRR abs/1912.11598 (2019) - 2018
- [c59]Chang-Shen Lee, Nicolò Michelusi, Gesualdo Scutari:
Finite Rate Quantized Distributed optimization with Geometric Convergence. ACSSC 2018: 1876-1880 - [c58]Amir Daneshmand, Gesualdo Scutari, Vyacheslav Kungurtsev:
Second-order Guarantees of Gradient Algorithms over Networks. Allerton 2018: 359-365 - [c57]Ye Tian, Ying Sun, Gesualdo Scutari:
ASY-SONATA: Achieving Linear Convergence in Distributed Asynchronous Multiagent Optimization. Allerton 2018: 543-551 - [c56]Chang-Shen Lee, Nicolò Michelusi, Gesualdo Scutari:
Distributed Quantized Weight-Balancing and Average Consensus Over Digraphs. CDC 2018: 5857-5862 - [i39]Ye Tian, Ying Sun, Bin Du, Gesualdo Scutari:
ASY-SONATA: Achieving Geometric Convergence for Distributed Asynchronous Optimization. CoRR abs/1803.10359 (2018) - [i38]Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano:
Distributed Big-Data Optimization via Block-Iterative Convexification and Averaging. CoRR abs/1805.00658 (2018) - [i37]Gesualdo Scutari, Ying Sun:
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization. CoRR abs/1805.06963 (2018) - [i36]Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano:
Distributed Big-Data Optimization via Block Communications. CoRR abs/1805.10654 (2018) - [i35]Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei, Brian M. Sadler:
Decentralized Dictionary Learning Over Time-Varying Digraphs. CoRR abs/1808.05933 (2018) - [i34]Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano:
Distributed Big-Data Optimization via Block-wise Gradient Tracking. CoRR abs/1808.07252 (2018) - [i33]Gesualdo Scutari, Ying Sun:
Distributed Nonconvex Constrained Optimization over Time-Varying Digraphs. CoRR abs/1809.01106 (2018) - [i32]Chang-Shen Lee, Nicolò Michelusi, Gesualdo Scutari:
Limited Rate Distributed Weight-Balancing and Average Consensus Over Digraphs. CoRR abs/1809.06440 (2018) - [i31]Amir Daneshmand, Gesualdo Scutari, Vyacheslav Kungurtsev:
Second-order Guarantees of Distributed Gradient Algorithms. CoRR abs/1809.08694 (2018) - [i30]Gaurav N. Shetty, Konstantinos Slavakis, Abhishek Bose, Ukash Nakarmi, Leslie Ying, Gesualdo Scutari:
Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery. CoRR abs/1812.10617 (2018) - 2017
- [j41]Francisco Facchinei, Lorenzo Lampariello, Gesualdo Scutari:
Feasible methods for nonconvex nonsmooth problems with applications in green communications. Math. Program. 164(1-2): 55-90 (2017) - [j40]Ali Najdi Al-Shuwaili, Osvaldo Simeone, Alireza Bagheri, Gesualdo Scutari:
Joint Uplink/Downlink Optimization for Backhaul-Limited Mobile Cloud Computing With User Scheduling. IEEE Trans. Signal Inf. Process. over Networks 3(4): 787-802 (2017) - [j39]Gesualdo Scutari, Francisco Facchinei, Lorenzo Lampariello:
Parallel and Distributed Methods for Constrained Nonconvex Optimization - Part I: Theory. IEEE Trans. Signal Process. 65(8): 1929-1944 (2017) - [j38]Gesualdo Scutari, Francisco Facchinei, Lorenzo Lampariello, Stefania Sardellitti, Peiran Song:
Parallel and Distributed Methods for Constrained Nonconvex Optimization-Part II: Applications in Communications and Machine Learning. IEEE Trans. Signal Process. 65(8): 1945-1960 (2017) - [c55]Chang-Shen Lee, Nicolò Michelusi, Gesualdo Scutari:
Topology-agnostic average consensus in sensor networks with limited data rate. ACSSC 2017: 553-557 - [c54]Loris Cannelli, Francisco Facchinei, Gesualdo Scutari:
Multi-Agent asynchronous nonconvex large-scale optimization. CAMSAP 2017: 1-5 - [c53]Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano:
Distributed big-data optimization via block communications. CAMSAP 2017: 1-5 - [c52]Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano:
Distributed big-data optimization via block-iterative convexification and averaging. CDC 2017: 2281-2288 - [c51]Ying Sun, Gesualdo Scutari:
Distributed nonconvex optimization for sparse representation. ICASSP 2017: 4044-4048 - [c50]Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei:
D2L: Decentralized dictionary learning over dynamic networks. ICASSP 2017: 4084-4088 - [c49]Aryan Mokhtari, Alec Koppel, Gesualdo Scutari, Alejandro Ribeiro:
Large-scale nonconvex stochastic optimization by Doubly Stochastic Successive Convex approximation. ICASSP 2017: 4701-4705 - [c48]Loris Cannelli, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari:
Asynchronous parallel nonconvex large-scale optimization. ICASSP 2017: 4706-4710 - [c47]Loris Cannelli, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari:
Essentially cyclic asynchronous nonconvex large-scale optimization. SPAWC 2017: 1-5 - 2016
- [j37]Zhangyu Guan, Tommaso Melodia, Gesualdo Scutari:
To Transmit or Not to Transmit? Distributed Queueing Games in Infrastructureless Wireless Networks. IEEE/ACM Trans. Netw. 24(2): 1153-1166 (2016) - [j36]Paolo Di Lorenzo, Gesualdo Scutari:
NEXT: In-Network Nonconvex Optimization. IEEE Trans. Signal Inf. Process. over Networks 2(2): 120-136 (2016) - [j35]Yang Yang, Gesualdo Scutari, Daniel P. Palomar, Marius Pesavento:
A Parallel Decomposition Method for Nonconvex Stochastic Multi-Agent Optimization Problems. IEEE Trans. Signal Process. 64(11): 2949-2964 (2016) - [c46]Ying Sun, Gesualdo Scutari, Daniel Pérez Palomar:
Distributed nonconvex multiagent optimization over time-varying networks. ACSSC 2016: 788-794 - [c45]Amir Daneshmand, Gesualdo Scutari, Francisco Facchinei:
Distributed dictionary learning. ACSSC 2016: 1001-1005 - [c44]Loris Cannelli, Gesualdo Scutari, Francisco Facchinei, Vyacheslav Kungurtsev:
Parallel asynchronous lock-free algorithms for nonconvex big-data optimization. ACSSC 2016: 1009-1013 - [c43]Peiran Song, Gesualdo Scutari, Francisco Facchinei, Lorenzo Lampariello:
D3M: Distributed multi-cell multigroup multicasting. ICASSP 2016: 3741-3745 - [c42]Paolo Di Lorenzo, Gesualdo Scutari:
Distributed nonconvex optimization over time-varying networks. ICASSP 2016: 4124-4128 - [i29]Gesualdo Scutari, Francisco Facchinei, Lorenzo Lampariello, Peiran Song, Stefania Sardellitti:
Parallel and Distributed Methods for Nonconvex Optimization-Part II: Applications. CoRR abs/1601.04059 (2016) - [i28]Paolo Di Lorenzo, Gesualdo Scutari:
NEXT: In-Network Nonconvex Optimization. CoRR abs/1602.00591 (2016) - [i27]Ying Sun, Gesualdo Scutari, Daniel P. Palomar:
Distributed Nonconvex Multiagent Optimization Over Time-Varying Networks. CoRR abs/1607.00249 (2016) - [i26]Loris Cannelli, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari:
Asynchronous Parallel Algorithms for Nonconvex Big-Data Optimization: Model and Convergence. CoRR abs/1607.04818 (2016) - [i25]Ali Najdi Al-Shuwaili, Osvaldo Simeone, Alireza Bagheri, Gesualdo Scutari:
Joint Uplink/Downlink Optimization for Backhaul-Limited Mobile Cloud Computing with User Scheduling. CoRR abs/1607.06521 (2016) - [i24]Ying Sun, Gesualdo Scutari:
Distributed Nonconvex Optimization for Sparse Representation. CoRR abs/1611.06576 (2016) - [i23]Amir Daneshmand, Gesualdo Scutari, Francisco Facchinei:
Distributed Dictionary Learning. CoRR abs/1612.07335 (2016) - 2015
- [j34]Stefania Sardellitti, Gesualdo Scutari, Sergio Barbarossa:
Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing. IEEE Trans. Signal Inf. Process. over Networks 1(2): 89-103 (2015) - [j33]Francisco Facchinei, Gesualdo Scutari, Simone Sagratella:
Parallel Selective Algorithms for Nonconvex Big Data Optimization. IEEE Trans. Signal Process. 63(7): 1874-1889 (2015) - [j32]Amir Daneshmand, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari:
Hybrid Random/Deterministic Parallel Algorithms for Convex and Nonconvex Big Data Optimization. IEEE Trans. Signal Process. 63(15): 3914-3929 (2015) - [c41]Paolo Di Lorenzo, Gesualdo Scutari:
Distributed nonconvex optimization over networks. CAMSAP 2015: 229-232 - 2014
- [j31]Francisco Facchinei, Jong-Shi Pang, Gesualdo Scutari:
Non-cooperative games with minmax objectives. Comput. Optim. Appl. 59(1-2): 85-112 (2014) - [j30]Francisco Facchinei, Jong-Shi Pang, Gesualdo Scutari, Lorenzo Lampariello:
VI-constrained hemivariational inequalities: distributed algorithms and power control in ad-hoc networks. Math. Program. 145(1-2): 59-96 (2014) - [j29]Gesualdo Scutari, Francisco Facchinei, Jong-Shi Pang, Daniel P. Palomar:
Real and Complex Monotone Communication Games. IEEE Trans. Inf. Theory 60(7): 4197-4231 (2014) - [j28]Gesualdo Scutari, Francisco Facchinei, Peiran Song, Daniel P. Palomar, Jong-Shi Pang:
Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems. IEEE Trans. Signal Process. 62(3): 641-656 (2014) - [j27]Italo Atzeni, Luis Garcia Ordóñez, Gesualdo Scutari, Daniel P. Palomar, Javier Rodríguez Fonollosa:
Noncooperative Day-Ahead Bidding Strategies for Demand-Side Expected Cost Minimization With Real-Time Adjustments: A GNEP Approach. IEEE Trans. Signal Process. 62(9): 2397-2412 (2014) - [j26]Alberth Alvarado, Gesualdo Scutari, Jong-Shi Pang:
A New Decomposition Method for Multiuser DC-Programming and Its Applications. IEEE Trans. Signal Process. 62(11): 2984-2998 (2014) - [c40]Amir Daneshmand, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari:
Flexible selective parallel algorithms for big data optimization. ACSSC 2014: 3-7 - [c39]Stefania Sardellitti, Gesualdo Scutari, Sergio Barbarossa:
Distributed joint optimization of radio and computational resources for mobile cloud computing. CloudNet 2014: 211-216 - [c38]Stefania Sardellitti, Sergio Barbarossa, Gesualdo Scutari:
Distributed mobile cloud computing: Joint optimization of radio and computational resources. GLOBECOM Workshops 2014: 1505-1510 - [c37]Gesualdo Scutari, Francisco Facchinei, Lorenzo Lampariello, Peiran Song:
Parallel and distributed methods for nonconvex optimization. ICASSP 2014: 840-844 - [c36]Stefania Sardellitti, Gesualdo Scutari, Sergio Barbarossa:
Joint cell selection and radio resource allocation in MIMO small cell networks via successive convex approximation. ICASSP 2014: 850-854 - [c35]Francisco Facchinei, Simone Sagratella, Gesualdo Scutari:
Flexible parallel algorithms for big data optimization. ICASSP 2014: 7208-7212 - [c34]Stefania Sardellitti, Gesualdo Scutari, Sergio Barbarossa:
Joint optimization of radio and computational resources for multicell mobile cloud computing. SPAWC 2014: 354-358 - [i22]Francisco Facchinei, Simone Sagratella, Gesualdo Scutari:
Parallel Algorithms for Big Data Optimization. CoRR abs/1402.5521 (2014) - [i21]Amir Daneshmand, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari:
Hybrid Random/Deterministic Parallel Algorithms for Nonconvex Big Data Optimization. CoRR abs/1407.4504 (2014) - [i20]Gesualdo Scutari, Francisco Facchinei, Lorenzo Lampariello, Peiran Song:
Distributed Methods for Constrained Nonconvex Multi-Agent Optimization-Part I: Theory. CoRR abs/1410.4754 (2014) - [i19]Yang Yang, Gesualdo Scutari, Daniel Pérez Palomar, Marius Pesavento:
A Parallel Stochastic Approximation Method for Nonconvex Multi-Agent Optimization Problems. CoRR abs/1410.5076 (2014) - [i18]Stefania Sardellitti, Gesualdo Scutari, Sergio Barbarossa:
Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing. CoRR abs/1412.8416 (2014) - 2013
- [j25]Yang Yang, Gesualdo Scutari, Peiran Song, Daniel P. Palomar:
Robust MIMO Cognitive Radio Systems Under Interference Temperature Constraints. IEEE J. Sel. Areas Commun. 31(11): 2465-2482 (2013) - [j24]Gesualdo Scutari, Jong-Shi Pang:
Joint Sensing and Power Allocation in Nonconvex Cognitive Radio Games: Nash Equilibria and Distributed Algorithms. IEEE Trans. Inf. Theory 59(7): 4626-4661 (2013) - [j23]Italo Atzeni, Luis Garcia Ordóñez, Gesualdo Scutari, Daniel P. Palomar, Javier Rodríguez Fonollosa:
Demand-Side Management via Distributed Energy Generation and Storage Optimization. IEEE Trans. Smart Grid 4(2): 866-876 (2013) - [j22]Jong-Shi Pang, Gesualdo Scutari:
Joint Sensing and Power Allocation in Nonconvex Cognitive Radio Games: Quasi-Nash Equilibria. IEEE Trans. Signal Process. 61(9): 2366-2382 (2013) - [j21]Italo Atzeni, Luis Garcia Ordóñez, Gesualdo Scutari, Daniel P. Palomar, Javier Rodríguez Fonollosa:
Noncooperative and Cooperative Optimization of Distributed Energy Generation and Storage in the Demand-Side of the Smart Grid. IEEE Trans. Signal Process. 61(10): 2454-2472 (2013) - [j20]Yang Yang, Francisco Rubio, Gesualdo Scutari, Daniel P. Palomar:
Multi-Portfolio Optimization: A Potential Game Approach. IEEE Trans. Signal Process. 61(22): 5590-5602 (2013) - [c33]Gesualdo Scutari, Francisco Facchinei, Daniel Pérez Song, Daniel P. Palomar, Jong-Shi Pang:
Decomposition by partial linearization in multiuser systems. ICASSP 2013: 4424-4428 - [c32]Yang Yang, Peiran Song, Gesualdo Scutari, Daniel P. Palomar:
Robust MIMO cognitive radio systems under temperature interference constraints. ICASSP 2013: 4504-4508 - [c31]Italo Atzeni, Luis Garcia Ordóñez, Gesualdo Scutari, Daniel Pérez Palomar, Javier Rodríguez Fonollosa:
Cooperative day-ahead bidding strategies for demand-side expected cost minimization. ICASSP 2013: 5224-5228 - [c30]Zhangyu Guan, Tommaso Melodia, Gesualdo Scutari:
Distributed queueing games in interference-limited wireless networks. ICC 2013: 1810-1815 - [c29]Yang Yang, Gesualdo Scutari, Daniel Pérez Palomar:
Parallel stochastic decomposition algorithms for multi-agent systems. SPAWC 2013: 180-184 - [i17]Gesualdo Scutari, Francisco Facchinei, Peiran Song, Daniel P. Palomar, Jong-Shi Pang:
Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems. CoRR abs/1302.0756 (2013) - [i16]Alberth Alvarado, Gesualdo Scutari, Jong-Shi Pang:
A New Distributed DC-Programming Method and its Application to Physical Layer Security. CoRR abs/1308.3521 (2013) - [i15]Francisco Facchinei, Simone Sagratella, Gesualdo Scutari:
Flexible Parallel Algorithms for Big Data Optimization. CoRR abs/1311.2444 (2013) - 2012
- [c28]Gesualdo Scutari, Francisco Facchinei, Jong-Shi Pang, Lorenzo Lampariello:
Equilibrium selection in power control games on the interference channel. INFOCOM 2012: 675-683 - [c27]Italo Atzeni, Luis Garcia Ordóñez, Gesualdo Scutari, Daniel P. Palomar, Javier Rodríguez Fonollosa:
Day-ahead bidding strategies for demand-side expected cost minimization. SmartGridComm 2012: 91-96 - [c26]Gesualdo Scutari, Francisco Facchinei, Jong-Shi Pang:
Equilibrium selection in MIMO communication games. SPAWC 2012: 80-84 - [i14]Jong-Shi Pang, Gesualdo Scutari:
Joint Sensing and Power Allocation in Nonconvex Cognitive Radio Games: Quasi-Nash Equilibria. CoRR abs/1212.6225 (2012) - [i13]Gesualdo Scutari, Francisco Facchinei, Jong-Shi Pang, Daniel P. Palomar:
Real and Complex Monotone Communication Games. CoRR abs/1212.6235 (2012) - [i12]Gesualdo Scutari, Jong-Shi Pang:
Joint Sensing and Power Allocation in Nonconvex Cognitive Radio Games: Nash Equilibria and Distributed Algorithms. CoRR abs/1212.6437 (2012) - 2011
- [j19]Jong-Shi Pang, Gesualdo Scutari:
Nonconvex Games with Side Constraints. SIAM J. Optim. 21(4): 1491-1522 (2011) - [j18]Jiaheng Wang, Gesualdo Scutari, Daniel Pérez Palomar:
Robust MIMO Cognitive Radio Via Game Theory. IEEE Trans. Signal Process. 59(3): 1183-1201 (2011) - [c25]Yang Yang, Francisco Rubio, Gesualdo Scutari, Daniel Pérez Palomar:
Multi-portfolio Optimization: A Potential Game Approach. GAMENETS 2011: 182-189 - [c24]Gesualdo Scutari, Jong-Shi Pang:
Joint sensing and power allocation in nonconvex cognitive radio games: Quasi-nash equilibria. DSP 2011: 1-8 - [c23]Gesualdo Scutari, Daniel P. Palomar, Francisco Facchinei, Jong-Shi Pang:
Distributed dynamic pricing for MIMO interfering multiuser systems: A unified approach. NetGCoop 2011: 1-5 - 2010
- [j17]Gesualdo Scutari, Daniel Pérez Palomar, Francisco Facchinei, Jong-Shi Pang:
Convex Optimization, Game Theory, and Variational Inequality Theory. IEEE Signal Process. Mag. 27(3): 35-49 (2010) - [j16]Gesualdo Scutari, Daniel Pérez Palomar:
MIMO cognitive radio: a game theoretical approach. IEEE Trans. Signal Process. 58(2): 761-780 (2010) - [j15]Jong-Shi Pang, Gesualdo Scutari, Daniel Pérez Palomar, Francisco Facchinei:
Design of cognitive radio systems under temperature-interference constraints: a variational inequality approach. IEEE Trans. Signal Process. 58(6): 3251-3271 (2010) - [c22]Jong-Shi Pang, Gesualdo Scutari, Daniel Pérez Palomar, Francisco Facchinei:
Design of cognitive radio systems under temperature-interference constraints: A variational inequality approach. ICASSP 2010: 2994-2997 - [c21]Jiaheng Wang, Gesualdo Scutari, Daniel Pérez Palomar:
Robust cognitive radio via game theory. ISIT 2010: 2073-2077 - [p1]Gesualdo Scutari, Daniel P. Palomar, Sergio Barbarossa:
Competitive optimization of cognitive radio MIMO systems via game theory. Convex Optimization in Signal Processing and Communications 2010: 387-442
2000 – 2009
- 2009
- [j14]Gesualdo Scutari, Daniel P. Palomar, Jong-Shi Pang, Francisco Facchinei:
Flexible design of cognitive radio wireless systems. IEEE Signal Process. Mag. 26(5): 107-123 (2009) - [j13]Gesualdo Scutari, Daniel Pérez Palomar, Sergio Barbarossa:
The MIMO iterative waterfilling algorithm. IEEE Trans. Signal Process. 57(5): 1917-1935 (2009) - [c20]Gesualdo Scutari, Daniel P. Palomar, Sergio Barbarossa:
Competitive optimization of cognitive radio MIMO systems via game theory. GAMENETS 2009: 452-461 - [c19]Sergio Barbarossa, Gesualdo Scutari, Timothy Battisti:
Distributed signal subspace projection algorithms with maximum convergence rate for sensor networks with topological constraints. ICASSP 2009: 2893-2896 - 2008
- [j12]Gesualdo Scutari, Daniel Pérez Palomar, Sergio Barbarossa:
Competitive Design of Multiuser MIMO Systems Based on Game Theory: A Unified View. IEEE J. Sel. Areas Commun. 26(7): 1089-1103 (2008) - [j11]Osvaldo Simeone, Umberto Spagnolini, Gesualdo Scutari, Yeheskel Bar-Ness:
Physical-layer distributed synchronization in wireless networks and applications. Phys. Commun. 1(1): 67-83 (2008) - [j10]Gesualdo Scutari, Daniel P. Palomar, Sergio Barbarossa:
Cognitive MIMO radio. IEEE Signal Process. Mag. 25(6): 46-59 (2008) - [j9]Gesualdo Scutari, Daniel Pérez Palomar, Sergio Barbarossa:
Asynchronous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels. IEEE Trans. Inf. Theory 54(7): 2868-2878 (2008) - [j8]Jong-Shi Pang, Gesualdo Scutari, Francisco Facchinei, Chaoxiong Wang:
Distributed Power Allocation With Rate Constraints in Gaussian Parallel Interference Channels. IEEE Trans. Inf. Theory 54(8): 3471-3489 (2008) - [j7]Gesualdo Scutari, Daniel Pérez Palomar, Sergio Barbarossa:
Optimal Linear Precoding Strategies for Wideband Noncooperative Systems Based on Game Theory - Part I: Nash Equilibria. IEEE Trans. Signal Process. 56(3): 1230-1249 (2008) - [j6]Gesualdo Scutari, Daniel Pérez Palomar, Sergio Barbarossa:
Optimal Linear Precoding Strategies for Wideband Non-Cooperative Systems Based on Game Theory - Part II: Algorithms. IEEE Trans. Signal Process. 56(3): 1250-1267 (2008) - [j5]Gesualdo Scutari, Sergio Barbarossa, Loreto Pescosolido:
Distributed Decision Through Self-Synchronizing Sensor Networks in the Presence of Propagation Delays and Asymmetric Channels. IEEE Trans. Signal Process. 56(4): 1667-1684 (2008) - [j4]Gesualdo Scutari, Sergio Barbarossa:
Distributed Consensus Over Wireless Sensor Networks Affected by Multipath Fading. IEEE Trans. Signal Process. 56(8-2): 4100-4106 (2008) - [c18]Antonio Fasano, Gesualdo Scutari:
The effect of additive noise on consensus achievement in wireless sensor networks. ICASSP 2008: 2277-2280 - [c17]Gesualdo Scutari, Daniel Pérez Palomar, Sergio Barbarossa:
Competitive design of multiuser MIMO interference systems based on game theory: A unified framework. ICASSP 2008: 5376-5379 - [i11]Gesualdo Scutari, Daniel Pérez Palomar, Sergio Barbarossa:
Asynchronous Iterative Waterfilling for Gaussian Frequency-Selective Interference Channels. CoRR abs/0801.2480 (2008) - [i10]Gesualdo Scutari, Sergio Barbarossa:
Distributed Consensus over Wireless Sensor Networks Affected by Multipath Fading. CoRR abs/0804.0506 (2008) - [i9]Gesualdo Scutari, Daniel Pérez Palomar, Sergio Barbarossa:
Competitive Design of Multiuser MIMO Systems based on Game Theory: A Unified View. CoRR abs/0806.1565 (2008) - [i8]Gesualdo Scutari, Daniel Pérez Palomar, Sergio Barbarossa:
Cognitive MIMO Radio: A Competitive Optimality Design Based on Subspace Projections. CoRR abs/0808.0978 (2008) - [i7]Gesualdo Scutari, Daniel Pérez Palomar, Sergio Barbarossa:
The MIMO Iterative Waterfilling Algorithm. CoRR abs/0812.2324 (2008) - 2007
- [j3]Sergio Barbarossa, Gesualdo Scutari:
Bio-Inspired Sensor Network Design. IEEE Signal Process. Mag. 24(3): 26-35 (2007) - [j2]Sergio Barbarossa, Gesualdo Scutari:
Decentralized Maximum-Likelihood Estimation for Sensor Networks Composed of Nonlinearly Coupled Dynamical Systems. IEEE Trans. Signal Process. 55(7-1): 3456-3470 (2007) - [c16]Sergio Barbarossa, Gesualdo Scutari, Ananthram Swami:
Achieving Consensus in Self-Organizing Wireless Sensor Networks: The Impact of Network Topology on Energy Consumption. ICASSP (2) 2007: 841-844 - [c15]Gesualdo Scutari, Daniel P. Palomar, Sergio Barbarossa:
Distributed Totally Asynchronous Iterative Waterfilling for Wideband Interference Channel with Time/Frequency Offset. ICASSP (4) 2007: 1325-1328 - [i6]Gesualdo Scutari, Daniel Pérez Palomar, Sergio Barbarossa:
Optimal Linear Precoding Strategies for Wideband Non-Cooperative Systems based on Game Theory-Part I: Nash Equilibria. CoRR abs/0707.0568 (2007) - [i5]Gesualdo Scutari, Daniel Pérez Palomar, Sergio Barbarossa:
Optimal Linear Precoding Strategies for Wideband Non-Cooperative Systems based on Game Theory-Part II: Algorithms. CoRR abs/0707.0871 (2007) - [i4]Gesualdo Scutari, Sergio Barbarossa, Loreto Pescosolido:
Distributed Decision Through Self-Synchronizing Sensor Networks in the Presence of Propagation Delays and Asymmetric Channels. CoRR abs/0709.2410 (2007) - [i3]Gesualdo Scutari, Sergio Barbarossa, Loreto Pescosolido:
Distributed Decision Through Self-Synchronizing Sensor Networks in the Presence of Propagation Delays and Nonreciprocal Channels. CoRR abs/cs/0702068 (2007) - [i2]Jong-Shi Pang, Gesualdo Scutari, Francisco Facchinei, Chaoxiong Wang:
Distributed Power Allocation with Rate Constraints in Gaussian Frequency-Selective Interference Channels. CoRR abs/cs/0702162 (2007) - 2006
- [c14]Sergio Barbarossa, Gesualdo Scutari, Ananthram Swami:
Distributed detection and estimation in decentralized sensor networks: An overview. EUSIPCO 2006: 1-5 - [c13]Gesualdo Scutari, Sergio Barbarossa, Daniel P. Palomar:
Potential Games: A Framework for Vector Power Control Problems With Coupled Constraints. ICASSP (4) 2006: 241-244 - [c12]Sergio Barbarossa, Gesualdo Scutari, Loreto Pescosolido:
Global Stability of a Population of Mutually Coupled Oscillators Reaching Global ML Estimate Through a Decentralized Approach. ICASSP (4) 2006: 385-388 - [c11]Loreto Pescosolido, Sergio Barbarossa, Gesualdo Scutari:
Decentralized Detection and Localization Through Sensor Networks Designed As a Population of Self-Synchronizing Oscillators. ICASSP (4) 2006: 981-984 - [c10]Gesualdo Scutari, Daniel P. Palomar, Sergio Barbarossa:
Simultaneous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels. ISIT 2006: 600-604 - [i1]Sergio Barbarossa, Gesualdo Scutari:
Decentralized Maximum Likelihood Estimation for Sensor Networks Composed of Nonlinearly Coupled Dynamical Systems. CoRR abs/cs/0612042 (2006) - 2005
- [j1]Gesualdo Scutari, Sergio Barbarossa:
Distributed space-time coding for regenerative relay networks. IEEE Trans. Wirel. Commun. 4(5): 2387-2399 (2005) - 2004
- [c9]Sergio Barbarossa, Gesualdo Scutari:
Distributed space-time coding strategies for wideband multihop networks: regenerative vs. non-regenerative relays. ICASSP (4) 2004: 501-504 - [c8]Gesualdo Scutari, Sergio Barbarossa, Daniele Ludovici:
On the maximum achievable rates in wireless meshed networks: centralized versus decentralized solutions. ICASSP (4) 2004: 573-576 - [c7]Sergio Barbarossa, Gesualdo Scutari:
Distributed space-time coding for multihop networks. ICC 2004: 916-920 - 2003
- [c6]Sergio Barbarossa, Gesualdo Scutari:
Cooperative diversity through virtual arrays in multihop networks. ICASSP (4) 2003: 209-212 - [c5]Gesualdo Scutari, Giancarlo Paccapeli, Sergio Barbarossa:
Concatenated space-time coding with optimal trade-off between diversity and coding gains. ICASSP (4) 2003: 333-336 - [c4]Sergio Barbarossa, Gesualdo Scutari, Giancarlo Paccapeli:
Concatenated space-time block coding with maximum diversity gain. ICC 2003: 2129-2133 - [c3]Gesualdo Scutari, Sergio Barbarossa:
Generalized water-filling for multiple transmit antenna systems. ICC 2003: 2668-2672 - 2002
- [c2]Sergio Barbarossa, Gesualdo Scutari:
On the maximum common rate in multiple access channels. EUSIPCO 2002: 1-4 - [c1]Sergio Barbarossa, Gesualdo Scutari, Ananthram Swami:
MUI-free CDMA systems incorporating space-time coding and channel shortening. ICASSP 2002: 2213-2216
Coauthor Index
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