Publications
Conference Papers
Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates
Gang Yan*, Guojun Xiong*, Shiqiang Wang, Jian Li
MobiHoc 2024, Athens, Greece
Enhancing Model Poisoning Attacks to Byzantine-Robust Federated Learning via Critical Learning Periods
Gang Yan, Hao Wang, Xu Yuan, Jian Li
RAID 2024, Padua, Italy
FedRoLA: Robust Federated Learning Against Model Poisoning via Layer-based Aggregation
Gang Yan, Hao Wang, Xu Yuan, Jian Li
ACM SIGKDD 2024, Barcelona, Spain
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations
Guojun Xiong, Gang Yan, Shiqiang Wang, Jian Li
AAAI 2024, Vancouver, Canada
CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning
Gang Yan, Hao Wang, Xu Yuan, Jian Li
ACM SIGKDD 2023, Long Beach, CA
DeFL: Defending Against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness
Gang Yan, Hao Wang, Xu Yuan, Jian Li
AAAI 2023, Washington, DC
Towards Latency Awareness for Content Delivery Network Caching
Gang Yan, Jian Li
USENIX ATC 2022, Carlsbad, CA
Reinforcement Learning for Dynamic Dimensioning of Cloud Caches: A Restless Bandit Approach
Guojun Xiong, Shiqiang Wang, Gang Yan, Jian Li
IEEE INFOCOM 2022, Virtual Conference
Seizing Critical Learning Periods in Federated Learning
Gang Yan, Hao Wang, Jian Li
AAAI 2022, Vancouver, Canada
Learning from Optimal Caching for Content Delivery
Gang Yan, Jian Li, Don Towsley
ACM CoNEXT 2021, Munich, Germany
RL-Bélády: A Unified Learning Framework for Content Caching
Gang Yan, Jian Li
ACM Multimedia 2020, Seattle, WA
Journal Papers
Reinforcement Learning for Dynamic Dimensioning of Cloud Caches: A Restless Bandit Approach
Guojun Xiong, Shiqiang Wang, Gang Yan, Jian Li
IEEE/ACM Transactions on Networking