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Communication-efficient federated multi-domain learning for network anomaly detection

Chunjiong Zhang Gaoyang Shan Byeong-hee Roh

数字通信与网络（英文）2026，Vol.12Issue(3)：472-481,10.

数字通信与网络（英文）2026，Vol.12Issue(3)：472-481,10.DOI:10.1016/j.dcan.2024.11.014

Communication-efficient federated multi-domain learning for network anomaly detection

Chunjiong Zhang ¹Gaoyang Shan ²Byeong-hee Roh¹

作者信息

1. Department of AI Convergence Network,Ajou University,Suwon 16499,Korea
2. Department of Software and Computer Engineering,Ajou University,Suwon 16499,Korea
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摘要

关键词

Federated learning/Multi-domain/Network anomaly detection/Communication

Key words

Federated learning/Multi-domain/Network anomaly detection/Communication

引用本文复制引用

Chunjiong Zhang,Gaoyang Shan,Byeong-hee Roh..Communication-efficient federated multi-domain learning for network anomaly detection[J].数字通信与网络（英文）,2026,12(3):472-481,10.

基金项目

This work is supported by the MSIT(Ministry of Science and ICT),Korea,under the ITRC(Information Technology Research Center)sup-port program(IITP-2023-2018-0-01431)supervised by the IITP(Insti-tute for Information & Communications Technology Planning & Eval-uation) （Ministry of Science and ICT）

the Brain Korea 21(BK21)FOUR program of the National Research Foundation of Korea funded by the Ministry of Education(NRF5199991514504). （BK21）

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