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FCLA-DT:Federated Continual Learning with Authentication for Distributed Digital Twin-based Industrial IoT

Yingjie Xia Xuejiao Liu Yunxiao Zhao Yun Wang

通信与信息网络学报（英文）2024，Vol.9Issue(4)：362-373,12.

FCLA-DT:Federated Continual Learning with Authentication for Distributed Digital Twin-based Industrial IoT

Yingjie Xia ¹Xuejiao Liu ²Yunxiao Zhao ³Yun Wang⁴

作者信息

1. Micro-Electronics Research Institute,Hangzhou Dianzi Univer-sity,Hangzhou 310005,China||College of Computer Science and Technology,Zhejiang University,Hangzhou 310012,China||Hangzhou Yuantiao Technology Company,Hangzhou 310036,China
2. School of Information Science and Technology,Hangzhou Nor-mal University,Hangzhou 311121,China
3. School of Information Science and Technology,Hangzhou Normal University,Hangzhou 311121,China
4. School of Cyberspace Security Technology,Hangzhou Dianzi University,Hangzhou 310018,China
折叠

摘要

关键词

federated continual learning/authentica-tion/group signature/digital twin/industrial Internet of things

Key words

federated continual learning/authentica-tion/group signature/digital twin/industrial Internet of things

引用本文复制引用

Yingjie Xia,Xuejiao Liu,Yunxiao Zhao,Yun Wang..FCLA-DT:Federated Continual Learning with Authentication for Distributed Digital Twin-based Industrial IoT[J].通信与信息网络学报（英文）,2024,9(4):362-373,12.

基金项目

This work is supported by the National Natural Science Foun-dation of China under Grant 62472132,Natural Science Foundation of Zhe-jiang Province under Grant LZ22F030004 and Key Research and Develop-ment Program Project of Zhejiang Province under Grant 2024C01179. （）

通信与信息网络学报（英文）

ISSN：2096-1081

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