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1 Ergebnisse
1
FedDM: Data and Model Heterogeneity-Aware Federated Learnin..:
, In:
2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS)
,
Shen, Leming
;
Zheng, Yuanqing
- p. 975-976 , 2023
Link:
https://doi.org/10.1109/ICDCS57875.2023.00093
RT T1
2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS)
: T1
FedDM: Data and Model Heterogeneity-Aware Federated Learning via Dynamic Weight Sharing
UL https://suche.suub.uni-bremen.de/peid=ieee-10272404&Exemplar=1&LAN=DE A1 Shen, Leming A1 Zheng, Yuanqing YR 2023 SN 2575-8411 K1 Training K1 Costs K1 Federated learning K1 Computational modeling K1 Neural networks K1 Distributed databases K1 Data models K1 Federated Learning K1 Data Heterogeneity K1 Model Heterogeneity K1 Parameter Sharing SP 975 OP 976 LK http://dx.doi.org/https://doi.org/10.1109/ICDCS57875.2023.00093 DO https://doi.org/10.1109/ICDCS57875.2023.00093 SF ELIB - SuUB Bremen
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