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1 Ergebnisse
1
Privacy-preserving and bandwidth-efficient federated learni..:
, In:
Proceedings of the Conference on Health, Inference, and Learning
,
Kerkouche, Raouf
;
Ács, Gergely
;
Castelluccia, Claude
. - p. 25-35 , 2021
Link:
https://dl.acm.org/doi/10.1145/3450439.3451859
RT T1
Proceedings of the Conference on Health, Inference, and Learning
: T1
Privacy-preserving and bandwidth-efficient federated learning : an application to in-hospital mortality prediction
UL https://suche.suub.uni-bremen.de/peid=acm-3451859&Exemplar=1&LAN=DE A1 Kerkouche, Raouf A1 Ács, Gergely A1 Castelluccia, Claude A1 Genevès, Pierre PB ACM YR 2021 K1 differential privacy K1 electronic health record K1 federated learning K1 imbalanced data K1 in-hospital mortality prediction K1 medical data K1 Computing methodologies K1 Machine learning K1 Security and privacy SP 25 OP 35 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3450439.3451859 DO https://dl.acm.org/doi/10.1145/3450439.3451859 SF ELIB - SuUB Bremen
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