Fedlabx: a practical and privacy-preserving framework for federated learning
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource, 1 online resource.
- Sprache
-
Englisch
- Erschienen in
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Fedlabx: a practical and privacy-preserving framework for federated learning ; day:31 ; month:7 ; year:2023 ; pages:1-14
Complex & intelligent systems ; (31.7.2023), 1-14
- Urheber
-
Yan, Yuping
Kamel, Mohammed B. M.
Zoltay, Marcell
Gál, Marcell
Hollós, Roland
Jin, Yaochu
Péter, Ligeti
Tényi, Ákos
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s40747-023-01184-3
- URN
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urn:nbn:de:101:1-2023103112060153498026
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:51 MESZ
Datenpartner
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Beteiligte
- Yan, Yuping
- Kamel, Mohammed B. M.
- Zoltay, Marcell
- Gál, Marcell
- Hollós, Roland
- Jin, Yaochu
- Péter, Ligeti
- Tényi, Ákos
- SpringerLink (Online service)
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