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1 Ergebnisse
1
A Framework for Multi-Prototype Based Federated Learning: T..:
, In:
2023 International Conference on Information Networking (ICOIN)
,
Qiao, Yu
;
Munir, Md. Shirajum
;
Adhikary, Apurba
... - p. 134-139 , 2023
Link:
https://doi.org/10.1109/ICOIN56518.2023.10048999
RT T1 <cTitle>2023 International Conference on Information Networking (ICOIN)</cTitle>: T1 <Title>A Framework for Multi-Prototype Based Federated Learning: Towards the Edge Intelligence</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10048999&Exemplar=1&LAN=DE A1 Qiao, Yu A1 Munir, Md. Shirajum A1 Adhikary, Apurba A1 Raha, Avi Deb A1 Hong, Sang Hoon A1 Hong, Choong Seon YR 2023 K1 Training K1 Weight measurement K1 Federated learning K1 Prototypes K1 Distributed databases K1 Inference algorithms K1 Data models K1 Distributed edge network K1 federated learning K1 multi-prototype K1 communication efficiency SP 134 OP 139 LK http://dx.doi.org/https://doi.org/10.1109/ICOIN56518.2023.10048999 DO https://doi.org/10.1109/ICOIN56518.2023.10048999 SF ELIB - SuUB Bremen
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