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1 Ergebnisse
1
Learning Cautiously in Federated Learning with Noisy and He..:
, In:
2023 IEEE International Conference on Multimedia and Expo (ICME)
,
Wu, Chenrui
;
Li, Zexi
;
Wang, Fangxin
. - p. 660-665 , 2023
Link:
https://doi.org/10.1109/ICME55011.2023.00119
RT T1
2023 IEEE International Conference on Multimedia and Expo (ICME)
: T1
Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients
UL https://suche.suub.uni-bremen.de/peid=ieee-10219725&Exemplar=1&LAN=DE A1 Wu, Chenrui A1 Li, Zexi A1 Wang, Fangxin A1 Wu, Chao YR 2023 SN 1945-788X K1 Training K1 Learning systems K1 Privacy K1 Federated learning K1 Annotations K1 Collaboration K1 Switches K1 Noisy labels K1 Non-IID data K1 Class imbalance SP 660 OP 665 LK http://dx.doi.org/https://doi.org/10.1109/ICME55011.2023.00119 DO https://doi.org/10.1109/ICME55011.2023.00119 SF ELIB - SuUB Bremen
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