2 papers
cs.DC2025
FedCod: An Efficient Communication Protocol for Cross-Silo Federated Learning with Coding
Peishen Yan, Jun Li, Hao Wang +4
Federated Learning (FL) is an innovative distributed machine learning paradigm that enables multiple parties to collaboratively train a model without sharing their raw data, thereb…
cs.LG2022
Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent
Pedro Soto, Ilia Ilmer, Haibin Guan +1
Coded distributed computation has become common practice for performing gradient descent on large datasets to mitigate stragglers and other faults. This paper proposes a novel algo…