FedSVD: Asynchronous Federated Learning With Stale Weight Vector Decomposition
Federated learning (FL) emerges as a collaborative learning framework that addresses the critical needs for privacy preservation and communication efficiency. In synchronous FL, each client waits for the global model, which is aggregated from the trained models of all participating clients. To allev...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11015799/ |
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