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1 Ergebnisse
1
Convergence Improvement by Parameters Exchange in Asynchron..:
, In:
2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)
,
Yamazaki, Asato
;
Nishio, Takayuki
;
Hara-Azumi, Yuko
- p. 36-43 , 2023
Link:
https://doi.org/10.1109/SEAA60479.2023.00015
RT T1
2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)
: T1
Convergence Improvement by Parameters Exchange in Asynchronous Decentralized Federated Learning for Non-IID Data
UL https://suche.suub.uni-bremen.de/peid=ieee-10371718&Exemplar=1&LAN=DE A1 Yamazaki, Asato A1 Nishio, Takayuki A1 Hara-Azumi, Yuko YR 2023 SN 2376-9521 K1 Training K1 Privacy K1 Federated learning K1 Distributed databases K1 Data models K1 Topology K1 Servers K1 Asynchronous decentralized federated learning K1 Non-IID data K1 Stochastic gradient descent SP 36 OP 43 LK http://dx.doi.org/https://doi.org/10.1109/SEAA60479.2023.00015 DO https://doi.org/10.1109/SEAA60479.2023.00015 SF ELIB - SuUB Bremen
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