Asynchronous Federated Learning Through Online Linear Regressions

In the practical scenario of Federated Learning (FL), clients upload their local model to a server at different times owing to heterogeneity in the clients’ device environment. Therefore, Asynchronous Federated Learning (AFL) has been aggressively studied recently. Although the initial mo...

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Bibliographic Details
Main Authors: Taiga Kashima, Ayako Amma, Hideki Nakayama
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10811896/
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