Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance
and Provably Fast Convergence

Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence

7 January 2024

Florian Grötschla

Flint Xiaofeng Fan

Roger Wattenhofer

Papers citing "Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence"

3 / 3 papers shown

Title
CAESAR: Enhancing Federated RL in Heterogeneous MDPs through Convergence-Aware Sampling with Screening Hei Yi Mak Flint Xiaofeng Fan Luca A. Lanzendörfer Cheston Tan Wei Tsang Ooi Roger Wattenhofer FedML 19 2 0 29 Mar 2024
Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums Sadegh Farhadkhani R. Guerraoui Nirupam Gupta Rafael Pinot John Stephan FedML 29 67 0 24 May 2022
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation Matilde Gargiani Andrea Zanelli Andrea Martinelli Tyler H. Summers John Lygeros 33 14 0 01 Feb 2022