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1 Ergebnisse
1
CDFed: Contribution-based Dynamic Federated Learning for Ma..:
, In:
NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium
,
Qiao, Yu
;
Munir, Md. Shirajum
;
Adhikary, Apurba
.. - p. 1-5 , 2023
Link:
https://doi.org/10.1109/NOMS56928.2023.10154273
RT T1
NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium
: T1
CDFed: Contribution-based Dynamic Federated Learning for Managing System and Statistical Heterogeneity
UL https://suche.suub.uni-bremen.de/peid=ieee-10154273&Exemplar=1&LAN=DE A1 Qiao, Yu A1 Munir, Md. Shirajum A1 Adhikary, Apurba A1 Raha, Avi Deb A1 Hong, Choong Seon YR 2023 SN 2374-9709 K1 Training K1 Federated learning K1 Probability K1 Data models K1 Servers K1 Proposals K1 Optimization K1 Dynamic federated learning K1 logical layer K1 client selection K1 communication efficiency SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/NOMS56928.2023.10154273 DO https://doi.org/10.1109/NOMS56928.2023.10154273 SF ELIB - SuUB Bremen
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