X

Refined Analysis of Federated Averaging's Bias and Federated Richardson-Romberg Extrapolation
In this paper, we present a novel analysis of FedAvg with constant step size, relying on the Markov property of the underlying process. …
Citation DOI URL
Achieving Optimal Breakdown for Byzantine Robust Gossip
Distributed approaches have many computational benefits, but they are vulnerable to attacks from a subset of devices transmitting …
Citation DOI URL
Byzantine-Robust Gossip: Insights from a Dual Approach
Distributed approaches have many computational benefits, but they are vulnerable to attacks from a subset of devices transmitting …
Citation DOI URL
Compression with Exact Error Distribution for Federated Learning
Compression schemes have been extensively used in Federated Learning (FL) to reduce the communication cost of distributed learning. …
Citation URL