2 papers
cs.LG2024
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries
Swetha Ganesh, Jiayu Chen, Gugan Thoppe +1
Federated Reinforcement Learning (FRL) allows multiple agents to collaboratively build a decision making policy without sharing raw trajectories. However, if a small fraction of th…
cs.LG2023
Online Learning with Adversaries: A Differential-Inclusion Analysis
Swetha Ganesh, Alexandre Reiffers-Masson, Gugan Thoppe
We introduce an observation-matrix-based framework for fully asynchronous online Federated Learning (FL) with adversaries. In this work, we demonstrate its effectiveness in estimat…