Sparse Training for Federated Learning with Regularized Error Correction

no code implementations • 21 Dec 2023 • Ran Greidi, Kobi Cohen

FLARE presents a novel sparse training approach via accumulated pulling of the updated models with regularization on the embeddings in the FL process, providing a powerful solution to the staleness effect, and pushing sparsity to an exceptional level.

Federated Learning