Publications

Conference Paper

[MobiHoc’24] Gang Yan*, Guojun Xiong*, Shiqiang Wang, Jian Li, “Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates”. Proceedings of the International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Athens, Greece, October, 2024.
[RAID’24] Gang Yan, Hao Wang, Xu Yuan, Jian Li, “Enhancing Model Poisoning Attacks to Byzantine-Robust Federated Learning via Critical Learning Periods”. Proceedings of the International Symposium on Research in Attacks, Intrusions and Defenses, Padua, Italy, September, 2024.
[ACM SIGKDD’24] Gang Yan, Hao Wang, Xu Yuan, Jian Li, “FedRoLA: Robust Federated Learning Against Model Poisoning via Layer-based Aggregation”. Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, August, 2024.
[AAAI’24] G. Xiong, Gang Yan, S. Wang and J. Li, “DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations”. Proceedings of Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, February 2024.
[ACM SIGKDD’23] Gang Yan, Hao Wang, Xu Yuan, Jian Li, “CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning”. Proceedings of the Twenty-Nineth ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Long Beach, CA, August 2023.
[AAAI’23] Gang Yan, H. Wang, X. Yuan and J. Li, “DeFL: Defending Against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness”. Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), Washington, DC, February 2023.
[USENIX ATC’22] Gang Yan and J. Li, “Towards Latency Awareness for Content Delivery Network Caching”. Proceedings of USENIX Annual Technical Conference (USENIX ATC), Carlsbad, CA, July 2022.
[IEEE INFOCOM’22] G. Xiong, S. Wang, Gang Yan and J. Li, “Reinforcement Learning for Dynamic Dimensioning of Cloud Caches: A Restless Bandit Approach”. Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM), Virtual Conference, May 2022.
[AAAI’22] Gang Yan, H. Wang and J. Li, “Seizing Critical Learning Periods in Federated Learning”. Proceedings of Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, February 2022.
[ACM CoNEXT’21] Gang Yan, J. Li and D. Towsley, “Learning from Optimal Caching for Content Delivery”. Proceedings of ACM International Conference on emerging Networking EXperiments and Technologies (ACM CoNEXT), Munich, Germany, December 2021.
[ACM Multimedia’20] Gang Yan, J. Li, “RL-Bélády: A unified learning framework for content caching.” Proceedings of the 28th ACM International Conference on Multimedia (ACM Multimedia), Seattle, WA, October 2020.

Journal Paper

[IEEE/ACM Transactions on Networking] G. Xiong, S. Wang, Gang Yan and J. Li, “Reinforcement Learning for Dynamic Dimensioning of Cloud Caches: A Restless Bandit Approach”. Journal of IEEE/ACM Transactions on Networking, 2023.