A survey on federated learning: challenges and applications

Federated learning (FL) is a secure distributed machine learning paradigm that addresses the issue of data silos in building a joint model. Its unique distributed training mode and the advantages of security aggregation mechanism are very suitable for various practical applications with strict priva...

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Detalles Bibliográficos
Autores principales: Wen, Jie, Zhang, Zhixia, Lan, Yang, Cui, Zhihua, Cai, Jianghui, Zhang, Wensheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650178/
https://www.ncbi.nlm.nih.gov/pubmed/36407495
http://dx.doi.org/10.1007/s13042-022-01647-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650178/
https://www.ncbi.nlm.nih.gov/pubmed/36407495
http://dx.doi.org/10.1007/s13042-022-01647-y

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