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1 Ergebnisse
1
SynFMPL: A Federated Meta Pseudo Labeling Framework with Sy..:
, In:
ICC 2023 - IEEE International Conference on Communications
,
Peng, Tzu-Hsuan
;
Chiu, Te-Chuan
;
Pang, Ai-Chun
. - p. 1181-1187 , 2023
Link:
https://doi.org/10.1109/ICC45041.2023.10278862
RT T1 <cTitle>ICC 2023 - IEEE International Conference on Communications</cTitle>: T1 <Title>SynFMPL: A Federated Meta Pseudo Labeling Framework with Synergetic Strategy</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10278862&Exemplar=1&LAN=DE A1 Peng, Tzu-Hsuan A1 Chiu, Te-Chuan A1 Pang, Ai-Chun A1 Tail, Wei-Chun YR 2023 SN 1938-1883 K1 Multiprotocol label switching K1 Training K1 Upper bound K1 Philosophical considerations K1 Federated learning K1 Semisupervised learning K1 Predictive models K1 Federated Learning K1 Semi-supervised Learning K1 Meta Pseudo Labels K1 Unlabeled Data K1 non-IID K1 Synergistic Effect SP 1181 OP 1187 LK http://dx.doi.org/https://doi.org/10.1109/ICC45041.2023.10278862 DO https://doi.org/10.1109/ICC45041.2023.10278862 SF ELIB - SuUB Bremen
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