Deception-Based Defense of Poisoning Attack in Federated Learning
Federated Learning (FL) enables decentralized model training to protect data privacy but introduces new security and privacy challenges. One of the most severe threats to FL systems is poisoning attacks, which can disrupt model convergence or manipulate prediction outcomes. Addressing these attacks...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
IEEE
2025-01-01
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| Serier: | IEEE Access |
| Fag: | |
| Online adgang: | https://ieeexplore.ieee.org/document/11170320/ |
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