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1 Ergebnisse
1
FedGSync: Jointly Optimized Weak Synchronization and Gradie..:
, In:
2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
,
Zhou, Huaman
;
He, Yihong
;
Zhang, Zhihao
... - p. 2075-2080 , 2023
Link:
https://doi.org/10.1109/SMC53992.2023.10394654
RT T1 <cTitle>2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)</cTitle>: T1 <Title>FedGSync: Jointly Optimized Weak Synchronization and Gradient Transmission for Fast Distributed Machine Learning in Heterogeneous WAN</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10394654&Exemplar=1&LAN=DE A1 Zhou, Huaman A1 He, Yihong A1 Zhang, Zhihao A1 Luo, Long A1 Yu, Hongfang A1 Sun, Gang YR 2023 SN 2577-1655 K1 Training K1 Wide area networks K1 Privacy K1 Distributed databases K1 Delays K1 Synchronization K1 Convergence K1 Wide-Area Network K1 Distributed Machine Learning K1 Computing Heterogeneity K1 Data Heterogeneity K1 Distributed Training Mechanism SP 2075 OP 2080 LK http://dx.doi.org/https://doi.org/10.1109/SMC53992.2023.10394654 DO https://doi.org/10.1109/SMC53992.2023.10394654 SF ELIB - SuUB Bremen
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