A survey on federated learning: challenges and applications.

Wen, Jie; Zhang, Zhixia; Lan, Yang; Cui, Zhihua; Cai, Jianghui; Zhang, Wensheng

Wen, Jie; Zhang, Zhixia; Lan, Yang; Cui, Zhihua; Cai, Jianghui; Zhang, Wensheng.

Afiliação

Wen J; School of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan, China.
Zhang Z; School of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan, China.
Lan Y; School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China.
Cui Z; School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China.
Cai J; School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China.
Zhang W; The State Key Laboratory of Intelligent Control and Management of Complex Systems, Institute of Automation Chinese Academy of Sciences, Beijing, China.

Int J Mach Learn Cybern ; 14(2): 513-535, 2023.

Article em En | MEDLINE | ID: mdl-36407495

Palavras-chave

Federated learning; Machine learning; Personalized federated learning; Privacy protection

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Int J Mach Learn Cybern Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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