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2020 – today
- 2024
[c7]Sixing Yu, Juan Pablo Muñoz, Ali Jannesari:
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models. LREC/COLING 2024: 7174-7184- [c6]Sixing Yu, J. Pablo Muñoz, Ali Jannesari:
Resource-Aware Heterogeneous Federated Learning with Specialized Local Models. Euro-Par (1) 2024: 389-403 - [i11]Le Chen, Nesreen K. Ahmed, Akash Dutta, Arijit Bhattacharjee, Sixing Yu, Quazi Ishtiaque Mahmud, Waqwoya Abebe, Hung Phan, Aishwarya Sarkar, Branden Butler, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Juan Pablo Muñoz, Theodore L. Willke, Tim Mattson, Ali Jannesari:
The Landscape and Challenges of HPC Research and LLMs. CoRR abs/2402.02018 (2024) - [i10]Branden Butler, Sixing Yu, Arya Mazaheri, Ali Jannesari:
PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculation. CoRR abs/2407.11798 (2024) - 2023
- [c5]Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari
:
Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient. CCGrid 2023: 322-330 - [c4]Duy Phuong Nguyen, Sixing Yu, J. Pablo Muñoz, Ali Jannesari:
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion. SC Workshops 2023: 36-43 - [i9]Sixing Yu, J. Pablo Muñoz, Ali Jannesari:
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models. CoRR abs/2305.11414 (2023) - [i8]Sixing Yu, J. Pablo Muñoz, Ali Jannesari:
Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning. CoRR abs/2310.00247 (2023) - 2022
- [c3]Sixing Yu, Arya Mazaheri, Ali Jannesari:
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning. ICML 2022: 25656-25667 - [c2]Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Wei Qian, Ali Anwar, Ali Jannesari:
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Federated Learning. SC 2022: 36:1-36:14 - [i7]Sixing Yu, Wei Qian, Ali Jannesari:
Resource-aware Federated Learning using Knowledge Extraction and Multi-model Fusion. CoRR abs/2208.07978 (2022) - [i6]Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Justin Stanley, J. Pablo Muñoz, Ali Jannesari:
Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search. CoRR abs/2211.05716 (2022) - [i5]Sixing Yu, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Xipeng Shen, Ali Jannesari:
Towards Seamless Management of AI Models in High-Performance Computing. CoRR abs/2212.06352 (2022) - 2021
- [c1]Sixing Yu, Arya Mazaheri, Ali Jannesari:
Auto Graph Encoder-Decoder for Neural Network Pruning. ICCV 2021: 6342-6352 - [i4]Sixing Yu, Arya Mazaheri, Ali Jannesari:
GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning. CoRR abs/2102.03214 (2021) - [i3]Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari:
Adaptive Dynamic Pruning for Non-IID Federated Learning. CoRR abs/2106.06921 (2021) - [i2]Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Ali Anwar, Ali Jannesari:
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning. CoRR abs/2111.14345 (2021) - 2020
- [i1]Sixing Yu, Arya Mazaheri, Ali Jannesari:
Auto Graph Encoder-Decoder for Model Compression and Network Acceleration. CoRR abs/2011.12641 (2020)
Coauthor Index
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