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1 Ergebnisse
1
Fast Secure Aggregation for Privacy-Preserving Federated Le..:
, In:
GLOBECOM 2022 - 2022 IEEE Global Communications Conference
,
Liu, Yanjun
;
Qian, Xinyuan
;
Li, Hongwei
.. - p. 3017-3022 , 2022
Link:
https://doi.org/10.1109/GLOBECOM48099.2022.10001327
RT T1 <cTitle>GLOBECOM 2022 - 2022 IEEE Global Communications Conference</cTitle>: T1 <Title>Fast Secure Aggregation for Privacy-Preserving Federated Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10001327&Exemplar=1&LAN=DE A1 Liu, Yanjun A1 Qian, Xinyuan A1 Li, Hongwei A1 Hao, Meng A1 Guo, Song YR 2022 K1 Training K1 Data privacy K1 Privacy K1 Federated learning K1 Computational modeling K1 Training data K1 Robustness K1 secure aggregation K1 polynomial multi-point evaluation K1 privacy protection SP 3017 OP 3022 LK http://dx.doi.org/https://doi.org/10.1109/GLOBECOM48099.2022.10001327 DO https://doi.org/10.1109/GLOBECOM48099.2022.10001327 SF ELIB - SuUB Bremen
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