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1
FLOW: A Scalable Multi-Model Federated Learning Framework o..:
, In:
2023 IEEE International Conference on Mobility, Operations, Services and Technologies (MOST)
,
Yao, Yongtao
;
Ammar, Nejib
;
Shi, Weisong
- p. 11-22 , 2023
Link:
https://doi.org/10.1109/MOST57249.2023.00010
RT T1 <cTitle>2023 IEEE International Conference on Mobility, Operations, Services and Technologies (MOST)</cTitle>: T1 <Title>FLOW: A Scalable Multi-Model Federated Learning Framework on the Wheels</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10210780&Exemplar=1&LAN=DE A1 Yao, Yongtao A1 Ammar, Nejib A1 Shi, Weisong YR 2023 K1 Training K1 Connected vehicles K1 Federated learning K1 Heuristic algorithms K1 Computational modeling K1 Clustering algorithms K1 Wheels K1 Multi-model federated learning K1 connected vehicle K1 client selection K1 model scheduling K1 geofencing SP 11 OP 22 LK http://dx.doi.org/https://doi.org/10.1109/MOST57249.2023.00010 DO https://doi.org/10.1109/MOST57249.2023.00010 SF ELIB - SuUB Bremen
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