Anomaly detection and defense techniques in federated learning: a comprehensive review
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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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
- Urheber
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s10462-024-10796-1
- URN
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urn:nbn:de:101:1-2409110924368.012266082099
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:28 MESZ
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Beteiligte
- Zhang, Chang
- Yang, Shunkun
- Mao, Lingfeng
- Ning, Huansheng
- SpringerLink (Online service)
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