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1 Ergebnisse
1
Self-adaptive and Efficient Training Node Selection for Fed..:
, In:
NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium
,
Tan, Can
;
Yu, Peng
;
Li, Wenjing
... - p. 1-5 , 2023
Link:
https://doi.org/10.1109/NOMS56928.2023.10154458
RT T1 <cTitle>NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium</cTitle>: T1 <Title>Self-adaptive and Efficient Training Node Selection for Federated Learning in B5G/6G Edge Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10154458&Exemplar=1&LAN=DE A1 Tan, Can A1 Yu, Peng A1 Li, Wenjing A1 Zhou, Fanqin A1 Wang, Ying A1 Xu, Siya A1 Qiu, Xuesong A1 Zheng, Qingbi A1 Xiao, Pei YR 2023 SN 2374-9709 K1 Training K1 Deep learning K1 6G mobile communication K1 Costs K1 Federated learning K1 Simulation K1 Distributed databases K1 6G K1 Edge Network K1 Federated Learning K1 node selection K1 Deep Reinforcement Learning SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/NOMS56928.2023.10154458 DO https://doi.org/10.1109/NOMS56928.2023.10154458 SF ELIB - SuUB Bremen
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