A Security-Enhanced Federated Learning Scheme Based on Homomorphic Encryption and Secret Sharing
Although federated learning is gaining prevalence in smart sensor networks, substantial risks to data privacy and security persist. An improper application of federated learning techniques can lead to critical privacy breaches. Practical and effective privacy-enhanced federated learning (PEPFL) is a...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2024-06-01
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| coleção: | Mathematics |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2227-7390/12/13/1993 |
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