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Jiahao Ding

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PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series

Jan 04, 2023
Li Zhang, Jiahao Ding, Yifeng Gao, Jessica Lin

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Towards Fast and Accurate Federated Learning with non-IID Data for Cloud-Based IoT Applications

Jan 29, 2022
Tian Liu, Jiahao Ding, Ting Wang, Miao Pan, Mingsong Chen

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To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices

Nov 01, 2021
Pavana Prakash, Jiahao Ding, Maoqiang Wu, Minglei Shu, Rong Yu, Miao Pan

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Evaluation of Inference Attack Models for Deep Learning on Medical Data

Oct 31, 2020
Maoqiang Wu, Xinyue Zhang, Jiahao Ding, Hien Nguyen, Rong Yu, Miao Pan, Stephen T. Wong

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Differentially Private (Gradient) Expectation Maximization Algorithm with Statistical Guarantees

Oct 22, 2020
Di Wang, Jiahao Ding, Zejun Xie, Miao Pan, Jinhui Xu

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Effective Proximal Methods for Non-convex Non-smooth Regularized Learning

Oct 01, 2020
Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi

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Towards Plausible Differentially Private ADMM Based Distributed Machine Learning

Aug 11, 2020
Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan

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Differentially Private and Fair Classification via Calibrated Functional Mechanism

Jan 14, 2020
Jiahao Ding, Xinyue Zhang, Xiaohuan Li, Junyi Wang, Rong Yu, Miao Pan

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Optimal Differentially Private ADMM for Distributed Machine Learning

Jan 07, 2019
Jiahao Ding, Yanmin Gong, Miao Pan, Zhu Han

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