Federated learning attack surface: taxonomy, cyber defences, challenges, and future directions (Englisch)
- Neue Suche nach: Qammar, Attia
- Neue Suche nach: Ding, Jianguo
- Neue Suche nach: Ning, Huansheng
- Weitere Informationen zu Ning, Huansheng:
- https://orcid.org/http://orcid.org/0000-0001-6413-193X
- Neue Suche nach: Qammar, Attia
- Neue Suche nach: Ding, Jianguo
- Neue Suche nach: Ning, Huansheng
- Weitere Informationen zu Ning, Huansheng:
- https://orcid.org/http://orcid.org/0000-0001-6413-193X
In:
Artificial Intelligence Review
: An International Science and Engineering Journal
;
55
, 5
;
3569-3606
;
2022
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:Federated learning attack surface: taxonomy, cyber defences, challenges, and future directions
-
Weitere Titelangaben:Artif Intell Rev
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Beteiligte:
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Erschienen in:Artificial Intelligence Review : An International Science and Engineering Journal ; 55, 5 ; 3569-3606
-
Verlag:
- Neue Suche nach: Springer Netherlands
-
Erscheinungsort:Dordrecht
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Erscheinungsdatum:01.06.2022
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Format / Umfang:38 pages
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ISSN:
-
DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
-
Sprache:Englisch
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Schlagwörter:
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Datenquelle:
Inhaltsverzeichnis – Band 55, Ausgabe 5
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