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FedCLCC:A personalized federated learning algorithm for edge cloud collaboration based on contrastive learning and conditional computing

Kangning Yin Xinhui Ji Yan Wang Zhiguo Wang

Defence Technology(防务技术)2025，Vol.43Issue(1)：P.80-93,14.

Defence Technology(防务技术)2025，Vol.43Issue(1)：P.80-93,14.DOI:10.1016/j.dt.2024.08.015

FedCLCC:A personalized federated learning algorithm for edge cloud collaboration based on contrastive learning and conditional computing

Kangning Yin ¹Xinhui Ji ²Yan Wang ³Zhiguo Wang³

作者信息

1. School of Information and Software Engineering,University of Electronic Science and Technology of China,Chengdu,611731,China Institute of Public Security,Kash Institute of Electronics and Information Industry,Kashi,844000,China
2. Institute of Public Security,Kash Institute of Electronics and Information Industry,Kashi,844000,China
3. School of Information and Software Engineering,University of Electronic Science and Technology of China,Chengdu,611731,China
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摘要

关键词

Federated learning/Statistical heterogeneity/Personalized model/Conditional computing/Contrastive learning

分类

信息技术与安全科学

引用本文复制引用

Kangning Yin,Xinhui Ji,Yan Wang,Zhiguo Wang..FedCLCC:A personalized federated learning algorithm for edge cloud collaboration based on contrastive learning and conditional computing[J].Defence Technology(防务技术),2025,43(1):P.80-93,14.

基金项目

supported by the Natural Science Foundation of Xinjiang Uygur Autonomous Region(Grant No.2022D01B 187)。（Grant No.2022D01B 187）

Defence Technology(防务技术)

ISSN：2096-3459

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