Privacy-Preserving Federated Learning Using Homomorphic Encryption
Federated learning (FL) is a machine learning technique that enables distributed devices to train a learning model collaboratively without sharing their local data. FL-based systems can achieve much stronger privacy preservation since the distributed devices deliver only local model parameters train...
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| Principais autores: | , |
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| Format: | Artigo |
| Jezik: | Inglês |
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MDPI AG
2022-01-01
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| Serija: | Applied Sciences |
| Teme: | |
| Online dostop: | https://www.mdpi.com/2076-3417/12/2/734 |
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