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1 Ergebnisse
1
Stragglers Are Not Disasters: A Hybrid Federated Learning F..:
, In:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)
,
Li, Xingyu
;
Qu, Zhe
;
Tang, Bo
. - p. 727-732 , 2022
Link:
https://doi.org/10.1109/ICMLA55696.2022.00121
RT T1
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)
: T1
Stragglers Are Not Disasters: A Hybrid Federated Learning Framework with Delayed Gradients
UL https://suche.suub.uni-bremen.de/peid=ieee-10069625&Exemplar=1&LAN=DE A1 Li, Xingyu A1 Qu, Zhe A1 Tang, Bo A1 Lu, Zhuo YR 2022 K1 Training K1 Machine learning algorithms K1 Federated learning K1 Computational modeling K1 Training data K1 Approximation algorithms K1 Data models K1 Federated Learning K1 Optimization K1 Large-scaled Data K1 Distributed Network SP 727 OP 732 LK http://dx.doi.org/https://doi.org/10.1109/ICMLA55696.2022.00121 DO https://doi.org/10.1109/ICMLA55696.2022.00121 SF ELIB - SuUB Bremen
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