AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation-Reference-Cited by-同舟云学术

AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation

Published:2022 Issue: Volume: Page:710-726
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Varno Farshid^ORCID,Saghayi Marzie^ORCID,Rafiee Sevyeri Laya^ORCID,Gupta Sharut^ORCID,Matwin Stan^ORCID,Havaei Mohammad^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-20050-2_41

Reference33 articles.

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4. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);J Bi,2021

5. Hsu, T.M.H., Qi, H., Brown, M.: Measuring the effects of non-identical data distribution for federated visual classification. arXiv preprint arXiv:1909.06335 (2019)

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