Jiaqi Zhao 0005 - researchr alias

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Viewing Publication 1 - 6 from 6

2023

VFLR: An Efficient and Privacy-Preserving Vertical Federated Framework for Logistic RegressionJiaqi Zhao 0005, Hui Zhu 0001, Fengwei Wang, Rongxing Lu, Ermei Wang, Linfeng Li, Hui Li 0006. tcc, 11(4):3326-3340, October - December 2023. [doi]

Efficient and privacy-preserving tree-based inference via additive homomorphic encryptionJiaqi Zhao 0005, Hui Zhu 0001, Fengwei Wang, Rongxing Lu, Hui Li 0006. isci, 650:119480, December 2023. [doi]

Efficient and Privacy-Preserving Logistic Regression Prediction over Vertically Partitioned DataJiaqi Zhao 0005, Hui Zhu 0001, Fengwei Wang, Rongxing Lu, Hui Li 0006. globecom 2023: 4253-4258 [doi]

SGBoost: An Efficient and Privacy-Preserving Vertical Federated Tree Boosting FrameworkJiaqi Zhao 0005, Hui Zhu 0001, Wei Xu, Fengwei Wang, Rongxing Lu, Hui Li 0006. tifs, 18:1022-1036, 2023. [doi]

2022

ACCEL: an efficient and privacy-preserving federated logistic regression scheme over vertically partitioned dataJiaqi Zhao 0005, Hui Zhu 0001, Fengwei Wang, Rongxing Lu, Hui Li 0006, Zhongmin Zhou, Haitao Wan. chinaf, 65(7):1-2, 2022. [doi]

An Efficient and Privacy-Preserving Route Matching Scheme for Carpooling ServicesQi Xu, Hui Zhu 0001, Yandong Zheng, Jiaqi Zhao 0005, Rongxing Lu, Hui Li 0006. iotj, 9(20):19890-19902, 2022. [doi]

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