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1 Ergebnisse
1
FFD: A Full-Stack Federated Distillation method for Heterog..:
, In:
2022 International Conference on Advanced Technologies for Communications (ATC)
,
Nguyen, Minh-Duong
;
Luong, Hong-Son
;
Tung-Nguyen
... - p. 326-331 , 2022
Link:
https://doi.org/10.1109/ATC55345.2022.9943034
RT T1 <cTitle>2022 International Conference on Advanced Technologies for Communications (ATC)</cTitle>: T1 <Title>FFD: A Full-Stack Federated Distillation method for Heterogeneous Massive IoT Networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9943034&Exemplar=1&LAN=DE A1 Nguyen, Minh-Duong A1 Luong, Hong-Son A1 Tung-Nguyen A1 Pham, Quoc-Viet A1 Do, Quang Vinh A1 Hwang, Won-Joo YR 2022 SN 2162-1039 K1 Training K1 Federated learning K1 Wireless networks K1 Neural networks K1 Distributed databases K1 Heterogeneous networks K1 Data models K1 Data Imbalance K1 Federated Learning K1 Knowledge Distillation K1 Internet of Things K1 Transfer Learning SP 326 OP 331 LK http://dx.doi.org/https://doi.org/10.1109/ATC55345.2022.9943034 DO https://doi.org/10.1109/ATC55345.2022.9943034 SF ELIB - SuUB Bremen
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