Anomaly detection and defense techniques in federated learning: a comprehensive review

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Anomaly detection and defense techniques in federated learning: a comprehensive review ; volume:57 ; number:6 ; day:23 ; month:5 ; year:2024 ; pages:1-34 ; date:6.2024
Artificial intelligence review ; 57, Heft 6 (23.5.2024), 1-34, 6.2024

Creator: Zhang, Chang
Yang, Shunkun
Mao, Lingfeng
Ning, Huansheng

Contributor: SpringerLink (Online service)

DOI: 10.1007/s10462-024-10796-1

URN: urn:nbn:de:101:1-2409110924368.012266082099

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:28 AM CEST

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Zhang, Chang
Yang, Shunkun
Mao, Lingfeng
Ning, Huansheng
SpringerLink (Online service)

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Anomaly detection and defense techniques in federated learning: a comprehensive review

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