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1 Ergebnisse
1
Pruning Analog Over-the-Air Distributed Learning Models wit..:
, In:
ICC 2022 - IEEE International Conference on Communications
,
Xu, Kailei
;
Yang, Howard H.
;
Zhao, Zhongyuan
... - p. 5202-5207 , 2022
Link:
https://doi.org/10.1109/ICC45855.2022.9839266
RT T1 <cTitle>ICC 2022 - IEEE International Conference on Communications</cTitle>: T1 <Title>Pruning Analog Over-the-Air Distributed Learning Models with Accuracy Loss Guarantee</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9839266&Exemplar=1&LAN=DE A1 Xu, Kailei A1 Yang, Howard H. A1 Zhao, Zhongyuan A1 Hong, Wei A1 Quek, Tony Q.S. A1 Peng, Mugen YR 2022 SN 1938-1883 K1 Training K1 Fading channels K1 Performance evaluation K1 Computer aided instruction K1 Upper bound K1 Distance learning K1 Wireless networks K1 Analog over-the-air computing K1 distributed learning K1 model pruning K1 heavy-tailed interference K1 error upper bound SP 5202 OP 5207 LK http://dx.doi.org/https://doi.org/10.1109/ICC45855.2022.9839266 DO https://doi.org/10.1109/ICC45855.2022.9839266 SF ELIB - SuUB Bremen
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