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1 Ergebnisse
1
Federated Learning for Online Resource Allocation in Mobile..:
, In:
2023 IEEE Wireless Communications and Networking Conference (WCNC)
,
Zheng, Jingjing
;
Li, Kai
;
Mhaisen, Naram
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/WCNC55385.2023.10118940
RT T1 <cTitle>2023 IEEE Wireless Communications and Networking Conference (WCNC)</cTitle>: T1 <Title>Federated Learning for Online Resource Allocation in Mobile Edge Computing: A Deep Reinforcement Learning Approach</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10118940&Exemplar=1&LAN=DE A1 Zheng, Jingjing A1 Li, Kai A1 Mhaisen, Naram A1 Ni, Wei A1 Tovar, Eduardo A1 Guizani, Mohsen YR 2023 SN 1558-2612 K1 Training K1 Deep learning K1 Energy consumption K1 Multi-access edge computing K1 Federated learning K1 Processor scheduling K1 Reinforcement learning K1 mobile edge computing K1 online resource allocation K1 deep reinforcement learning SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/WCNC55385.2023.10118940 DO https://doi.org/10.1109/WCNC55385.2023.10118940 SF ELIB - SuUB Bremen
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