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...

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Detalles Bibliográficos
Autores principales: Zhang, Bingxue, Lu, Guangguang, Qiu, Pengpeng, Gui, Xumin, Shi, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670442/
https://www.ncbi.nlm.nih.gov/pubmed/37998241
http://dx.doi.org/10.3390/e25111550

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