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1 Ergebnisse
1
PPCE: Privacy-Preserving Contribution Evaluation for Fairne..:
, In:
2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)
,
Geng, Ke
;
Wang, Lingling
;
Zhang, Zhengyin
.. - p. 474-480 , 2023
Link:
https://doi.org/10.1109/ICPADS60453.2023.00077
RT T1 <cTitle>2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)</cTitle>: T1 <Title>PPCE: Privacy-Preserving Contribution Evaluation for Fairness-Aware Federated Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10476158&Exemplar=1&LAN=DE A1 Geng, Ke A1 Wang, Lingling A1 Zhang, Zhengyin A1 Lu, Zhongkai A1 Huang, Mei YR 2023 SN 2690-5965 K1 Privacy K1 Data privacy K1 Federated learning K1 Neural networks K1 Prototypes K1 Encryption K1 Computational efficiency K1 Fairness-aware federated learning K1 Privacy protection K1 Contribution evaluation K1 Gradient Shapley SP 474 OP 480 LK http://dx.doi.org/https://doi.org/10.1109/ICPADS60453.2023.00077 DO https://doi.org/10.1109/ICPADS60453.2023.00077 SF ELIB - SuUB Bremen
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