LAUSR

Staleness-Controlled Asynchronous Federated Learning: Accuracy and Efficiency Tradeoff

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0 Published in 2024 at "IEEE Transactions on Mobile Computing"

DOI: 10.1109/tmc.2024.3416216

Abstract: Federated Learning (FL) is an emerging distributed learning paradigm with the privacy-preserving advantage of collaboratively training a shared model across multiple participants. Considering the prevailing device heterogeneity circumstance in practice, asynchronous interaction is introduced into… read more here.

Keywords: asynchronous federated; staleness controlled; controlled asynchronous; accuracy ... See more keywords