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Decentralized semi-federated learning in digital twin-empowered industrial IoT

Fangfang Chen Xiongyue Wu Jianhua Tang

数字通信与网络（英文）2026，Vol.12Issue(7)：1091-1101,11.

数字通信与网络（英文）2026，Vol.12Issue(7)：1091-1101,11.DOI:10.1016/j.dcan.2026.04.003

Decentralized semi-federated learning in digital twin-empowered industrial IoT

Fangfang Chen ¹Xiongyue Wu ¹Jianhua Tang²

作者信息

1. Shien-Ming Wu School of Intelligent Engineering,South China University of Technology,Guangzhou,Guangdong,511442,China
2. Shien-Ming Wu School of Intelligent Engineering,South China University of Technology,Guangzhou,Guangdong,511442,China||Shenzhen Smart City Technology Development Group Company,Ltd.,China,Shenzhen,518040,China
折叠

摘要

关键词

Digital twin(DT)/Industrial edge intelligence(IEI)/Decentralized federated learning

Key words

Digital twin(DT)/Industrial edge intelligence(IEI)/Decentralized federated learning

引用本文复制引用

Fangfang Chen,Xiongyue Wu,Jianhua Tang..Decentralized semi-federated learning in digital twin-empowered industrial IoT[J].数字通信与网络（英文）,2026,12(7):1091-1101,11.

基金项目

This work was supported in part by the National Natural Science Foundation of China under grant 62571199,in part by the National Key R&D Program of China under grant 2024YFE0200500,and in part by the Guangdong Basic and Applied Basic Research Foundation under grant 2024A1515012615. （）

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