127 citations · 145 across the 8 of their papers we have counts for
4 papers · 1 filter
Supplementary File: Cooperative Gradient Coding for Semi-Decentralized Federated Learning
Shudi Weng, Chengxi Li, Ming Xiao +1
Stragglers' effects are known to degrade FL performance. In this paper, we investigate federated learning (FL) over wireless networks in the presence of communication stragglers, w…
Distributed Learning based on 1-Bit Gradient Coding in the Presence of Stragglers
Chengxi Li, Mikael Skoglund
This paper considers the problem of distributed learning (DL) in the presence of stragglers. For this problem, DL methods based on gradient coding have been widely investigated, wh…
Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation
Chengxi Li, Ming Xiao, Mikael Skoglund
In this article, we address the problem of federated learning in the presence of stragglers. For this problem, a coded federated learning framework has been proposed, where the cen…
Gradient Coding in Decentralized Learning for Evading Stragglers
Chengxi Li, Mikael Skoglund
In this paper, we consider a decentralized learning problem in the presence of stragglers. Although gradient coding techniques have been developed for distributed learning to evade…