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1 Ergebnisse
1
FedDQ: Communication-Efficient Federated Learning with Desc..:
, In:
GLOBECOM 2022 - 2022 IEEE Global Communications Conference
,
Qu, Linping
;
Song, Shenghui
;
Tsui, Chi-Ying
- p. 281-286 , 2022
Link:
https://doi.org/10.1109/GLOBECOM48099.2022.10001205
RT T1
GLOBECOM 2022 - 2022 IEEE Global Communications Conference
: T1
FedDQ: Communication-Efficient Federated Learning with Descending Quantization
UL https://suche.suub.uni-bremen.de/peid=ieee-10001205&Exemplar=1&LAN=DE A1 Qu, Linping A1 Song, Shenghui A1 Tsui, Chi-Ying YR 2022 K1 Training K1 Adaptation models K1 Solid modeling K1 Privacy K1 Analytical models K1 Quantization (signal) K1 Federated learning K1 Federated Learning K1 Communication-Efficient K1 Quantization SP 281 OP 286 LK http://dx.doi.org/https://doi.org/10.1109/GLOBECOM48099.2022.10001205 DO https://doi.org/10.1109/GLOBECOM48099.2022.10001205 SF ELIB - SuUB Bremen
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