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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| 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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