27 citations · 29 across the 2 of their papers we have counts for
3 papers
cs.DC2025
Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks
Shuai Wang, Yanqing Xu, Chaoqun You +2
Federated learning (FL) has been recognized as a viable solution for local-privacy-aware collaborative model training in wireless edge networks, but its practical deployment is hin…
cs.NI2022★ 2 cited
Social Welfare Maximization for Collaborative Edge Computing: A Deep Reinforcement Learning-Based Approach
Xingqiu He, Yuhang Shen, Hongxi Zhu +3
Collaborative Edge Computing (CEC) is an effective method that improves the performance of Mobile Edge Computing (MEC) systems by offloading computation tasks from busy edge server…
cs.LG2022★ 27 cited
Semi-Synchronous Personalized Federated Learning over Mobile Edge Networks
Chaoqun You, Daquan Feng, Kun Guo +2
Personalized Federated Learning (PFL) is a new Federated Learning (FL) approach to address the heterogeneity issue of the datasets generated by distributed user equipments (UEs). H…