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Advancing Federated Learning through Verifiable Computations and Homomorphic Encryption
Federated learning, as one of the three main technical routes for privacy computing, has been widely studied and applied in both academia and industry. However, malicious nodes may tamper with the algorithm execution process or submit false learning results, which directly affects the performance of...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670442/ https://www.ncbi.nlm.nih.gov/pubmed/37998241 http://dx.doi.org/10.3390/e25111550 |