8 citations · 26 across the 5 of their papers we have counts for
7 papers
Distributed Swarm Learning for Internet of Things at the Edge: Where Artificial Intelligence Meets Biological Intelligence
Yue Wang, Zhi Tian, Xin Fan +3
With the proliferation of versatile Internet of Things (IoT) services, smart IoT devices are increasingly deployed at the edge of wireless networks to perform collaborative machine…
Robust Distributed Learning Against Both Distributional Shifts and Byzantine Attacks
Guanqiang Zhou, Ping Xu, Yue Wang +1
In distributed learning systems, robustness issues may arise from two sources. On one hand, due to distributional shifts between training data and test data, the trained model coul…
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…
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…
Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise
Yue Wang, Shaofeng Zou
Greedy-GQ is an off-policy two timescale algorithm for optimal control in reinforcement learning. This paper develops the first finite-sample analysis for the Greedy-GQ algorithm w…