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1 Ergebnisse
1
Privacy-Preserving Federated Learning via Disentanglement:
, In:
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
,
Zhou, Wenjie
;
Li, Piji
;
Han, Zhaoyang
... - p. 3606-3615 , 2023
Link:
https://dl.acm.org/doi/10.1145/3583780.3615014
RT T1 <cTitle>Proceedings of the 32nd ACM International Conference on Information and Knowledge Management</cTitle>: T1 <Title>Privacy-Preserving Federated Learning via Disentanglement</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3615014&Exemplar=1&LAN=DE A1 Zhou, Wenjie A1 Li, Piji A1 Han, Zhaoyang A1 Lu, Xiaozhen A1 Li, Juan A1 Ren, Zhaochun A1 Liu, Zhe PB ACM YR 2023 K1 disentanglement K1 federated learning K1 interpretability K1 privacy K1 Security and privacy K1 Human and societal aspects of security and privacy K1 Privacy protections K1 Computer systems organization K1 Architectures K1 Distributed architectures K1 Client-server architectures K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Supervised learning by classification SP 3606 OP 3615 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3583780.3615014 DO https://dl.acm.org/doi/10.1145/3583780.3615014 SF ELIB - SuUB Bremen
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