Detection of Global Anomalies on Distributed IoT Edges with Device-to-Device Communication

Author:

Ochiai Hideya1ORCID,Nishihata Riku1ORCID,Tomiyama Eisuke1ORCID,Sun Yuwei1ORCID,Esaki Hiroshi1ORCID

Affiliation:

1. The University of Tokyo, Tokyo, Japan

Funder

JSPS KAKENHI

Publisher

ACM

Reference29 articles.

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3. Ali Anaissi , Basem Suleiman , and Widad Alyassine . 2022 . A Personalized Federated Learning Algorithm for One-Class Support Vector Machine: An Application in Anomaly Detection . In International Conference on Computational Science. Springer, 373--379 . Ali Anaissi, Basem Suleiman, and Widad Alyassine. 2022. A Personalized Federated Learning Algorithm for One-Class Support Vector Machine: An Application in Anomaly Detection. In International Conference on Computational Science. Springer, 373--379.

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1. Collaborative Multi-Task Learning across Internet Edges with Device-to-Device Communications;2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics);2023-12-17

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