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1 Ergebnisse
1
FedRich: Towards efficient federated learning for heterogen..:
Yang, He
;
Xi, Wei
;
Wang, Zizhao
...
Information Sciences. 645 (2023) - p. 119360 , 2023
Link:
https://doi.org/10.1016/j.ins.2023.119360
RT Journal T1
FedRich: Towards efficient federated learning for heterogeneous clients using heuristic scheduling
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.ins.2023.119360&Exemplar=1&LAN=DE A1 Yang, He A1 Xi, Wei A1 Wang, Zizhao A1 Shen, Yuhao A1 Ji, Xinyuan A1 Sun, Cerui A1 Zhao, Jizhong PB Elsevier BV YR 2023 SN 0020-0255 JF Information Sciences VO 645 SP 119360 LK http://dx.doi.org/https://doi.org/10.1016/j.ins.2023.119360 DO https://doi.org/10.1016/j.ins.2023.119360 SF ELIB - SuUB Bremen
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