Chengxi Li

Gradient Coding in Decentralized Learning for Evading Stragglers

2024 · arXiv (Cornell University)

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 stragglers, where the devices send encoded gradients with redundant …

Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation

2024 · arXiv (Cornell University)

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 central server aggregates gradients received from the …