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1 Ergebnisse
1
Personalized Federated Learning for Fast Convergence and Lo..:
, In:
2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)
,
Li, Zhidu
;
He, Songyang
;
Li, Xu
. - p. 536-541 , 2023
Link:
https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys60..
RT T1 <cTitle>2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)</cTitle>: T1 <Title>Personalized Federated Learning for Fast Convergence and Local Adaption: A Double Gradient Descent Method</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10466971&Exemplar=1&LAN=DE A1 Li, Zhidu A1 He, Songyang A1 Li, Xu A1 Xue, Meiting YR 2023 K1 Performance evaluation K1 Dimensionality reduction K1 Adaptation models K1 Federated learning K1 Data models K1 Convergence K1 personalized federated learning K1 double gradient descent K1 convergence analysis K1 data heterogeneity SP 536 OP 541 LK http://dx.doi.org/https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys60770.2023.00079 DO https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys60770.2023.00079 SF ELIB - SuUB Bremen
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