Communication-Efficient and Privacy-Preserving Verifiable Aggregation for Federated Learning

Federated learning is a distributed machine learning framework, which allows users to save data locally for training without sharing data. Users send the trained local model to the server for aggregation. However, untrusted servers may infer users’ private information from the provided data and mist...

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Detalles Bibliográficos
Autores principales: Peng, Kaixin, Shen, Xiaoying, Gao, Le, Wang, Baocang, Lu, Yichao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453387/
https://www.ncbi.nlm.nih.gov/pubmed/37628155
http://dx.doi.org/10.3390/e25081125

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453387/
https://www.ncbi.nlm.nih.gov/pubmed/37628155
http://dx.doi.org/10.3390/e25081125

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