89 citations · 315 across the 16 of their papers we have counts for
5 papers · 1 filter
Online Robust Reinforcement Learning with Model Uncertainty
Yue Wang, Shaofeng Zou
Robust reinforcement learning (RL) is to find a policy that optimizes the worst-case performance over an uncertainty set of MDPs. In this paper, we focus on model-free robust RL, w…
BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated Learning against Byzantine Attackers
Xin Fan, Yue Wang, Yan Huo +1
As a promising distributed learning technology, analog aggregation based federated learning over the air (FLOA) provides high communication efficiency and privacy provisioning unde…
Joint Optimization of Communications and Federated Learning Over the Air
Xin Fan, Yue Wang, Yan Huo +1
Federated learning (FL) is an attractive paradigm for making use of rich distributed data while protecting data privacy. Nonetheless, nonideal communication links and limited trans…
Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation
Yue Wang, Shaofeng Zou, Yi Zhou
Temporal-difference learning with gradient correction (TDC) is a two time-scale algorithm for policy evaluation in reinforcement learning. This algorithm was initially proposed wit…
1-Bit Compressive Sensing for Efficient Federated Learning Over the Air
Xin Fan, Yue Wang, Yan Huo +1
For distributed learning among collaborative users, this paper develops and analyzes a communication-efficient scheme for federated learning (FL) over the air, which incorporates 1…