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1 Ergebnisse
1
FedCime: An Efficient Federated Learning Approach For Clien..:
, In:
2023 IEEE International Conference on Edge Computing and Communications (EDGE)
,
Agbaje, Paul
;
Anjum, Afia
;
Talukder, Zahidur
... - p. 215-220 , 2023
Link:
https://doi.org/10.1109/EDGE60047.2023.00042
RT T1
2023 IEEE International Conference on Edge Computing and Communications (EDGE)
: T1
FedCime: An Efficient Federated Learning Approach For Clients in Mobile Edge Computing
UL https://suche.suub.uni-bremen.de/peid=ieee-10234316&Exemplar=1&LAN=DE A1 Agbaje, Paul A1 Anjum, Afia A1 Talukder, Zahidur A1 Islam, Mohammad A1 Nwafor, Ebelechukwu A1 Olufowobi, Habeeb YR 2023 SN 2767-9918 K1 Training K1 Multi-access edge computing K1 Federated learning K1 Computational modeling K1 Heuristic algorithms K1 Distributed databases K1 Data models K1 machine learning K1 mobile edge computing K1 data heterogeneity SP 215 OP 220 LK http://dx.doi.org/https://doi.org/10.1109/EDGE60047.2023.00042 DO https://doi.org/10.1109/EDGE60047.2023.00042 SF ELIB - SuUB Bremen
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