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1 Ergebnisse
1
Fed-SHARC: Resilient Decentralized Federated Learning based..:
, In:
2024 IEEE Conference on Artificial Intelligence (CAI)
,
Kanagavelu, Renuga
;
Anil, Chris George
;
Wang, Yuan
... - p. 581-586 , 2024
Link:
https://doi.org/10.1109/CAI59869.2024.00115
RT T1
2024 IEEE Conference on Artificial Intelligence (CAI)
: T1
Fed-SHARC: Resilient Decentralized Federated Learning based on Reward driven Clustering
UL https://suche.suub.uni-bremen.de/peid=ieee-10605563&Exemplar=1&LAN=DE A1 Kanagavelu, Renuga A1 Anil, Chris George A1 Wang, Yuan A1 Fu, Huazhu A1 Wei, Qingsong A1 Liu, Yong A1 Mong Goh, Rick Siow YR 2024 K1 Privacy K1 Differential privacy K1 Accuracy K1 Federated learning K1 Aggregates K1 Noise K1 Multi-party computation K1 Decentralised Federated Learning K1 Reward-driven Clustering K1 Multi-Party Computation K1 Weighted noise injection policy K1 Gradient leakage Attack SP 581 OP 586 LK http://dx.doi.org/https://doi.org/10.1109/CAI59869.2024.00115 DO https://doi.org/10.1109/CAI59869.2024.00115 SF ELIB - SuUB Bremen
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