An Efficient and Privacy-Preserving Federated Learning Approach Based on Homomorphic Encryption
Federated Learning (FL) is a decentralized and collaborative learning approach that ensures the data privacy of each participant. However, recent studies have shown that the private data of each participant can be obtained from shared parameters of local models through reversal model and membership...
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| Główni autorzy: | , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
IEEE
2025-01-01
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| Seria: | IEEE Open Journal of the Computer Society |
| Hasła przedmiotowe: | |
| Dostęp online: | https://ieeexplore.ieee.org/document/10858339/ |
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