2 papers
cs.LG2025
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…
cs.NI2024
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…