A Survey of Security Strategies in Federated Learning: Defending Models, Data, and Privacy
Federated Learning (FL) has emerged as a transformative paradigm in machine learning, enabling decentralized model training across multiple devices while preserving data privacy. However, the decentralized nature of FL introduces significant security challenges, making it vulnerable to various attac...
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| Asıl Yazarlar: | , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI AG
2024-10-01
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| Seri Bilgileri: | Future Internet |
| Konular: | |
| Online Erişim: | https://www.mdpi.com/1999-5903/16/10/374 |
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