Jian-Tao Xu

FedDPRL: Communication-Efficient Differentially Private Federated Reinforcement Learning With Adaptive Gradient Compression

Cross-silo federated reinforcement learning (FRL) trains a shared policy across silos that must simultaneously respect a per-round uplink budget and on-device privacy. Although differential privacy (DP) and gradient compression each have mature solutions in supervised federated learning, naively stacking them in the po...