Jiahao Ding

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 35

Top Topics

Privacy Preserving

Sparsity Inducing

Differentially Private

Top Venues

IEEE Internet Things J.

Publications

Minghui Min, Haopeng Zhu, Jiahao Ding, Shiyin Li, Liang Xiao, Miao Pan, Zhu Han
Personalized 3D Location Privacy Protection With Differential and Distortion Geo-Perturbation. IEEE Trans. Dependable Secur. Comput. 21 (4) (2024)
Li Zhang, Jiahao Ding, Yifeng Gao, Jessica Lin
PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series. SDM (2023)
Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi
Stochastic privacy-preserving methods for nonconvex sparse learning. Inf. Sci. 630 (2023)
Di Wang, Jiahao Ding, Lijie Hu, Zejun Xie, Miao Pan, Jinhui Xu
Finite Sample Guarantees of Differentially Private Expectation Maximization Algorithm. ECAI (2023)
Li Zhang, Jiahao Ding, Yifeng Gao, Jessica Lin
PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series. CoRR (2023)
Linhui Zhou, Jiahao Ding, Xiumin Fan
An Adaptive RRT Algorithm Based on Narrow Passage Recognition for Assembly Path Planning. IEEM (2023)
Pavana Prakash, Jiahao Ding, Rui Chen, Xiaoqi Qin, Minglei Shu, Qimei Cui, Yuanxiong Guo, Miao Pan
IoT Device Friendly and Communication-Efficient Federated Learning via Joint Model Pruning and Quantization. IEEE Internet Things J. 9 (15) (2022)
Qianqian Tong, Guannan Liang, Jiahao Ding, Tan Zhu, Miao Pan, Jinbo Bi
Federated Optimization of ℓ0-norm Regularized Sparse Learning. Algorithms 15 (9) (2022)
Jiahao Ding, Sai Mounika Errapotu, Yuanxiong Guo, Haixia Zhang, Dongfeng Yuan, Miao Pan
Private Empirical Risk Minimization With Analytic Gaussian Mechanism for Healthcare System. IEEE Trans. Big Data 8 (4) (2022)
Tian Liu, Jiahao Ding, Ting Wang, Miao Pan, Mingsong Chen
Towards Fast and Accurate Federated Learning with non-IID Data for Cloud-Based IoT Applications. CoRR (2022)
Minghui Min, Liang Xiao, Jiahao Ding, Hongliang Zhang, Shiyin Li, Miao Pan, Zhu Han
3D Geo-Indistinguishability for Indoor Location-Based Services. IEEE Trans. Wirel. Commun. 21 (7) (2022)
Tian Liu, Jiahao Ding, Ting Wang, Miao Pan, Mingsong Chen
Towards Fast and Accurate Federated Learning with Non-IID Data for Cloud-Based IoT Applications. J. Circuits Syst. Comput. 31 (13) (2022)
Xinyue Zhang, Jiahao Ding, Maoqiang Wu, Stephen T. C. Wong, Hien Van Nguyen, Miao Pan
Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data. WACV (2021)
Pavana Prakash, Jiahao Ding, Maoqiang Wu, Minglei Shu, Rong Yu, Miao Pan
To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices. CoRR (2021)
Maoqiang Wu, Dongdong Ye, Jiahao Ding, Yuanxiong Guo, Rong Yu, Miao Pan
Incentivizing Differentially Private Federated Learning: A Multidimensional Contract Approach. IEEE Internet Things J. 8 (13) (2021)
Jiahao Ding, Guannan Liang, Jinbo Bi, Miao Pan
Differentially Private and Communication Efficient Collaborative Learning. AAAI (2021)
Pavana Prakash, Jiahao Ding, Minglei Shu, Junyi Wang, Wenjun Xu, Miao Pan
SQuaFL: Sketch-Quantization Inspired Communication Efficient Federated Learning. SEC (2021)
Pavana Prakash, Jiahao Ding, Maoqiang Wu, Minglei Shu, Rong Yu, Miao Pan
To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices. GLOBECOM (2021)
Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi
Effective Proximal Methods for Non-convex Non-smooth Regularized Learning. ICDM (2020)
Di Wang, Jiahao Ding, Zejun Xie, Miao Pan, Jinhui Xu
Differentially Private (Gradient) Expectation Maximization Algorithm with Statistical Guarantees. CoRR (2020)
Jiahao Ding, Xinyue Zhang, Xiaohuan Li, Junyi Wang, Rong Yu, Miao Pan
Differentially Private and Fair Classification via Calibrated Functional Mechanism. AAAI (2020)
Jiahao Ding, Xinyue Zhang, Xiaohuan Li, Junyi Wang, Rong Yu, Miao Pan
Differentially Private and Fair Classification via Calibrated Functional Mechanism. CoRR (2020)
Pavana Prakash, Jiahao Ding, Hongning Li, Sai Mounika Errapotu, Qingqi Pei, Miao Pan
Privacy Preserving Facial Recognition Against Model Inversion Attacks. GLOBECOM (2020)
Jiahao Ding, Yu Zhu, Mingyu Luo, Minghua Zhu, Xiumin Fan, Zelin Zhou
AR Assisted Process Guidance System for Ship Block Fabrication. HCI (11) (2020)
Maoqiang Wu, Xinyue Zhang, Jiahao Ding, Hien Van Nguyen, Rong Yu, Miao Pan, Stephen T. Wong
Evaluation of Inference Attack Models for Deep Learning on Medical Data. CoRR (2020)
Xinyue Zhang, Jiahao Ding, Xuanheng Li, Tingting Yang, Jie Wang, Miao Pan
Mobile Crowdsensing Task Allocation optimization with Differentially Private Location Privacy. ICC (2020)
Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan
Towards Plausible Differentially Private ADMM Based Distributed Machine Learning. CoRR (2020)
Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi
Effective Proximal Methods for Non-convex Non-smooth Regularized Learning. CoRR (2020)
Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan
Towards Plausible Differentially Private ADMM Based Distributed Machine Learning. CIKM (2020)
Jiahao Ding, Yanmin Gong, Miao Pan, Zhu Han
Optimal Differentially Private ADMM for Distributed Machine Learning. CoRR (2019)
Jiahao Ding, Xinyue Zhang, Mingsong Chen, Kaiping Xue, Chi Zhang, Miao Pan
Differentially Private Robust ADMM for Distributed Machine Learning. IEEE BigData (2019)
Dian Shi, Jiahao Ding, Sai Mounika Errapotu, Hao Yue, Wenjun Xu, Xiangwei Zhou, Miao Pan
Deep Q-Network-Based Route Scheduling for TNC Vehicles With Passengers' Location Differential Privacy. IEEE Internet Things J. 6 (5) (2019)
Jiahao Ding, Sai Mounika Errapotu, Haijun Zhang, Yanmin Gong, Miao Pan, Zhu Han
Stochastic ADMM Based Distributed Machine Learning with Differential Privacy. SecureComm (1) (2019)
Xinyue Zhang, Jiahao Ding, Sai Mounika Errapotu, Xiaoxia Huang, Pan Li, Miao Pan
Differentially Private Functional Mechanism for Generative Adversarial Networks. GLOBECOM (2019)
Dian Shi, Jiahao Ding, Sai Mounika Errapotu, Hao Yue, Wenjun Xu, Xiangwei Zhou, Miao Pan
Deep Q-Network Based Route Scheduling for Transportation Network Company Vehicles. GLOBECOM (2018)