14 citations · 19 across the 6 of their papers we have counts for
6 papers
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations
Guojun Xiong, Shufan Wang, Daniel Jiang +1
Federated reinforcement learning (FedRL) enables multiple agents to collaboratively learn a policy without sharing their local trajectories collected during agent-environment inter…
Structured Reinforcement Learning for Delay-Optimal Data Transmission in Dense mmWave Networks
Shufan Wang, Guojun Xiong, Shichen Zhang +3
We study the data packet transmission problem (mmDPT) in dense cell-free millimeter wave (mmWave) networks, i.e., users sending data packet requests to access points (APs) via upli…
Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints
Shufan Wang, Guojun Xiong, Jian Li
Restless multi-armed bandits (RMAB) have been widely used to model sequential decision making problems with constraints. The decision maker (DM) aims to maximize the expected total…
Whittle Index based Q-Learning for Wireless Edge Caching with Linear Function Approximation
Guojun Xiong, Shufan Wang, Jian Li +1
We consider the problem of content caching at the wireless edge to serve a set of end users via unreliable wireless channels so as to minimize the average latency experienced by en…
Achieving Adversarial Robustness via Sparsity
Shufan Wang, Ningyi Liao, Liyao Xiang +2
Network pruning has been known to produce compact models without much accuracy degradation. However, how the pruning process affects a network's robustness and the working mechanis…
Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice
Shufan Wang, Jian Li, Shiqiang Wang
We study the problem of augmenting online algorithms with machine learned (ML) advice. In particular, we consider the \emph{multi-shop ski rental} (MSSR) problem, which is a genera…