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Privacy-Preserving Personnel Detection in Substations via Federated Learning with Dynamic Noise Adaptation

Yuewei Tian Yang Su Yujia Wang Lisa Guo Xuyang Wu Lei Cao Fang Ren

Computers, Materials & Continua2026,Vol.86Issue(3):P.894-915,22.
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Computers, Materials & Continua2026,Vol.86Issue(3):P.894-915,22.DOI:10.32604/cmc.2025.072081

Privacy-Preserving Personnel Detection in Substations via Federated Learning with Dynamic Noise Adaptation

Yuewei Tian 1Yang Su 2Yujia Wang 1Lisa Guo 1Xuyang Wu 3Lei Cao 4Fang Ren3

作者信息

  • 1. Guiyang Power Supply Bureau,Guizhou Power Grid Co.,Ltd.,Guiyang,563000,China
  • 2. Information Center,Guizhou Power Grid Co.,Ltd.,Guiyang,563000,China
  • 3. School of Computer and Communication Engineering,University of Science and Technology Beijing,Beijing,100083,China
  • 4. Guizhou Power Grid Co.,Ltd.,Guiyang,563000,China
  • 折叠

摘要

关键词

Substation/privacy preservation/asynchronous federated learning/CNN/differential privacy

分类

信息技术与安全科学

引用本文复制引用

Yuewei Tian,Yang Su,Yujia Wang,Lisa Guo,Xuyang Wu,Lei Cao,Fang Ren..Privacy-Preserving Personnel Detection in Substations via Federated Learning with Dynamic Noise Adaptation[J].Computers, Materials & Continua,2026,86(3):P.894-915,22.

基金项目

funded by the National Natural Science Foundation of China,grant number 61605004 ()

the Fundamental Research Funds for the Central Universities,grant number FRF-TP-19-016A2 ()

Guizhou Power Grid Co.,Ltd.2024 first batch of services(2024-2026 technology R&D services for science and technology projects(in addition to national and SGCC key projects)),grant number 060100KC23100012。 (2024-2026 technology R&D services for science and technology projects(in addition to national and SGCC key projects)

Computers, Materials & Continua

1546-2218

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