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1 Ergebnisse
1
Toward Efficient and End-to-End Privacy-Preserving Distribu..:
, In:
ICC 2023 - IEEE International Conference on Communications
,
Yuan, Shuai
;
Li, Hongwei
;
Qian, Xinyuan
... - p. 1566-1571 , 2023
Link:
https://doi.org/10.1109/ICC45041.2023.10279189
RT T1 <cTitle>ICC 2023 - IEEE International Conference on Communications</cTitle>: T1 <Title>Toward Efficient and End-to-End Privacy-Preserving Distributed Gradient Boosting Decision Trees</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10279189&Exemplar=1&LAN=DE A1 Yuan, Shuai A1 Li, Hongwei A1 Qian, Xinyuan A1 Hao, Meng A1 Zhai, Yixiao A1 Cui, Xiaolong YR 2023 SN 1938-1883 K1 Privacy K1 Differential privacy K1 Runtime K1 Predictive models K1 Boosting K1 Data models K1 Decision trees K1 Privacy-preserving machine learning K1 Gradient Boosting Decision Trees K1 Homomorphic Encryption SP 1566 OP 1571 LK http://dx.doi.org/https://doi.org/10.1109/ICC45041.2023.10279189 DO https://doi.org/10.1109/ICC45041.2023.10279189 SF ELIB - SuUB Bremen
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