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1 Ergebnisse
1
CADIS: Handling Cluster-skewed Non-IID Data in Federated Le..:
, In:
2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid)
,
Nguyen, Nang Hung
;
Nguyen, Duc Long
;
Nguyen, Trong Bang
... - p. 249-261 , 2023
Link:
https://doi.org/10.1109/CCGrid57682.2023.00032
RT T1 <cTitle>2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid)</cTitle>: T1 <Title>CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10171516&Exemplar=1&LAN=DE A1 Nguyen, Nang Hung A1 Nguyen, Duc Long A1 Nguyen, Trong Bang A1 Nguyen, Thanh-Hung A1 Pham, Huy Hieu A1 Nguyen, Truong Thao A1 Nguyen, Phi Le YR 2023 K1 Training K1 Measurement K1 Data privacy K1 Federated learning K1 Distributed databases K1 Benchmark testing K1 Data models K1 non-IID data K1 clustering K1 knowledge distillation K1 regularization K1 aggregation SP 249 OP 261 LK http://dx.doi.org/https://doi.org/10.1109/CCGrid57682.2023.00032 DO https://doi.org/10.1109/CCGrid57682.2023.00032 SF ELIB - SuUB Bremen
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