A efficient and robust privacy-preserving framework for cross-device federated learning
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
A efficient and robust privacy-preserving framework for cross-device federated learning ; day:23 ; month:2 ; year:2023 ; pages:1-15
Complex & intelligent systems ; (23.2.2023), 1-15
- Creator
-
Du, Weidong
Li, Min
Wu, Liqiang
Han, Yiliang
Zhou, Tanping
Yang, Xiaoyuan
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s40747-023-00978-9
- URN
-
urn:nbn:de:101:1-2023053121263228545398
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:54 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Du, Weidong
- Li, Min
- Wu, Liqiang
- Han, Yiliang
- Zhou, Tanping
- Yang, Xiaoyuan
- SpringerLink (Online service)
Other Objects (12)
Efficient Federated and Privacy-preserving Machine Learning
PQSF: post-quantum secure privacy-preserving federated learning
A privacy-preserving federated learning framework for blockchain networks
Privacy-preserving prediction
Privacy-preserving geofencing
Privacy-preserving federated learning based on partial low-quality data
Federated Learning with Privacy-preserving and Model IP-right-protection
Fedlabx: a practical and privacy-preserving framework for federated learning
FLCP: federated learning framework with communication-efficient and privacy-preserving
Privacy-Preserving Email Forensics
Privacy-preserving distributed clustering
Privacy-Preserving Blockchain Technologies
Efficient Federated and Privacy-preserving Machine Learning
PQSF: post-quantum secure privacy-preserving federated learning
A privacy-preserving federated learning framework for blockchain networks
Privacy-preserving prediction
Privacy-preserving geofencing
Privacy-preserving federated learning based on partial low-quality data
Federated Learning with Privacy-preserving and Model IP-right-protection
Fedlabx: a practical and privacy-preserving framework for federated learning
FLCP: federated learning framework with communication-efficient and privacy-preserving
Privacy-Preserving Email Forensics
Privacy-preserving distributed clustering
Privacy-Preserving Blockchain Technologies
Efficient Federated and Privacy-preserving Machine Learning
PQSF: post-quantum secure privacy-preserving federated learning
A privacy-preserving federated learning framework for blockchain networks
Privacy-preserving prediction
Privacy-preserving geofencing
Privacy-preserving federated learning based on partial low-quality data
Federated Learning with Privacy-preserving and Model IP-right-protection
Fedlabx: a practical and privacy-preserving framework for federated learning
FLCP: federated learning framework with communication-efficient and privacy-preserving
Privacy-Preserving Email Forensics
Privacy-preserving distributed clustering