| Seizing critical learning periods in federated learning G Yan, H Wang, J Li Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8788-8796, 2022 | 25* | 2022 |
| RL-Bélády: A unified learning framework for content caching G Yan, J Li Proceedings of the 28th ACM International Conference on Multimedia, 1009-1017, 2020 | 19 | 2020 |
| Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates G Yan*, G Xiong*, S Wang, J Li arXiv preprint arXiv:2306.06559, 2023 | 16* | 2023 |
| Learning from optimal caching for content delivery G Yan, J Li, D Towsley Proceedings of the 17th International Conference on emerging Networking …, 2021 | 15 | 2021 |
| Reinforcement learning for dynamic dimensioning of cloud caches: A restless bandit approach G Xiong, S Wang, G Yan, J Li IEEE/ACM Transactions on Networking, 2023 | 11 | 2023 |
| Towards latency awareness for content delivery network caching G Yan, J Li 2022 USENIX Annual Technical Conference (USENIX ATC 22), 789-804, 2022 | 7 | 2022 |
| Criticalfl: A critical learning periods augmented client selection framework for efficient federated learning G Yan, H Wang, X Yuan, J Li Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 5 | 2023 |
| DeFL: defending against model poisoning attacks in federated learning via critical learning periods awareness G Yan, H Wang, X Yuan, J Li Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10711 …, 2023 | 3 | 2023 |
| Critical Learning Periods Augmented Model Poisoning Attacks to Byzantine-Robust Federated Learning G Yan, H Wang, X Yuan, J Li | 1 | 2022 |
| DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations G Xiong, G Yan, S Wang, J Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 16103 …, 2024 | | 2024 |
| Critical Learning Periods Augmented Federated Learning G Yan State University of New York at Binghamton, 2023 | | 2023 |
| FEDCL: CRITICAL LEARNING PERIODS-AWARE ADAP-TIVE CLIENT SELECTION IN FEDERATED LEARNING G Yan, H Wang, X Yuan, J Li | | |
Jian LiAssistant Professor, Stony Brook UniversityVerified email at stonybrook.edu
