activity
20222026
most citedRefined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data

6 citations · 8 across the 7 of their papers we have counts for

collaborators
Showing 2025Show all

1 paper · 1 filter

cs.LG2025

Tight Stability Bounds for Robust Distributed Learning: Byzantine Failures Hurt Generalization More than Data Poisoning

Thomas Boudou, Batiste Le Bars, Nirupam Gupta +1

Robust distributed learning algorithms aim to maintain reliable performance despite the presence of misbehaving workers. Such misbehaviors are commonly modeled as \textit{Byzantine…