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1 Ergebnisse
1
FedHybrid: Hierarchical Hybrid Training for High-Performanc..:
, In:
2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)
,
Chang, Tao
;
Li, Li
;
Wu, Meihan
.. - p. 303-311 , 2023
Link:
https://doi.org/10.1109/SECON58729.2023.10287503
RT T1 <cTitle>2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)</cTitle>: T1 <Title>FedHybrid: Hierarchical Hybrid Training for High-Performance Federated Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10287503&Exemplar=1&LAN=DE A1 Chang, Tao A1 Li, Li A1 Wu, Meihan A1 Yu, Wei A1 Wang, Xiaodong YR 2023 SN 2155-5494 K1 Training K1 Performance evaluation K1 Federated learning K1 Training data K1 Prototypes K1 Data models K1 Mobile handsets SP 303 OP 311 LK http://dx.doi.org/https://doi.org/10.1109/SECON58729.2023.10287503 DO https://doi.org/10.1109/SECON58729.2023.10287503 SF ELIB - SuUB Bremen
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