pFedKT: personalized federated learning with dual knowledge transfer

pFedKT: personalized federated learning with dual knowledge transfer

Federated learning (FL) has been widely studied as an emerging privacy-preserving machine learning paradigm for achieving multi-party collaborative model training on decentralized data. In practice, such data tend to follow non-independent and identically distributed (non-IID) data distributions. Th...

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Bibliographic Details
Main Authors: Yi, Liping, Shi, Xiaorong, Wang, Nan, Wang, Gang, Liu, Xiaoguang, Shi, Zhuan, Yu, Han
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Computer and Information Science
Personalized federated learning
Knowledge transfer
Online Access:https://hdl.handle.net/10356/180139

Internet

https://hdl.handle.net/10356/180139

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