Jiahao Ding

According to our database, Jiahao Ding authored at least 28 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Stochastic privacy-preserving methods for nonconvex sparse learning.

Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi

Inf. Sci., June, 2023

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

Li Zhang, Jiahao Ding, Yifeng Gao, Jessica Lin

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

An Adaptive RRT Algorithm Based on Narrow Passage Recognition for Assembly Path Planning.

Linhui Zhou, Jiahao Ding, Xiumin Fan

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2023

Finite Sample Guarantees of Differentially Private Expectation Maximization Algorithm.

Di Wang, Jiahao Ding, Lijie Hu, Zejun Xie, Miao Pan, Jinhui Xu

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

3D Geo-Indistinguishability for Indoor Location-Based Services.

Minghui Min, Liang Xiao, Jiahao Ding, Hongliang Zhang, Shiyin Li, Miao Pan, Zhu Han

IEEE Trans. Wirel. Commun., 2022

Private Empirical Risk Minimization With Analytic Gaussian Mechanism for Healthcare System.

Jiahao Ding, Sai Mounika Errapotu, Yuanxiong Guo, Haixia Zhang, Dongfeng Yuan, Miao Pan

IEEE Trans. Big Data, 2022

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

Tian Liu, Jiahao Ding, Ting Wang, Miao Pan, Mingsong Chen

J. Circuits Syst. Comput., 2022

IoT Device Friendly and Communication-Efficient Federated Learning via Joint Model Pruning and Quantization.

Pavana Prakash, Jiahao Ding, Rui Chen, Xiaoqi Qin, Minglei Shu, Qimei Cui, Yuanxiong Guo, Miao Pan

IEEE Internet Things J., 2022

Federated Optimization of ℓ0-norm Regularized Sparse Learning.

Qianqian Tong, Guannan Liang, Jiahao Ding, Tan Zhu, Miao Pan, Jinbo Bi

Algorithms, 2022

2021

Incentivizing Differentially Private Federated Learning: A Multidimensional Contract Approach.

Maoqiang Wu, Dongdong Ye, Jiahao Ding, Yuanxiong Guo, Rong Yu, Miao Pan

IEEE Internet Things J., 2021

Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data.

Xinyue Zhang, Jiahao Ding, Maoqiang Wu, Stephen T. C. Wong, Hien Van Nguyen, Miao Pan

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

SQuaFL: Sketch-Quantization Inspired Communication Efficient Federated Learning.

Pavana Prakash, Jiahao Ding, Minglei Shu, Junyi Wang, Wenjun Xu, Miao Pan

Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021

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

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

Proceedings of the IEEE Global Communications Conference, 2021

Differentially Private and Communication Efficient Collaborative Learning.

Jiahao Ding, Guannan Liang, Jinbo Bi, Miao Pan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Evaluation of Inference Attack Models for Deep Learning on Medical Data.

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

CoRR, 2020

Differentially Private (Gradient) Expectation Maximization Algorithm with Statistical Guarantees.

Di Wang, Jiahao Ding, Zejun Xie, Miao Pan, Jinhui Xu

CoRR, 2020

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

Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Mobile Crowdsensing Task Allocation optimization with Differentially Private Location Privacy.

Xinyue Zhang, Jiahao Ding, Xuanheng Li, Tingting Yang, Jie Wang, Miao Pan

Proceedings of the 2020 IEEE International Conference on Communications, 2020

AR Assisted Process Guidance System for Ship Block Fabrication.

Jiahao Ding, Yu Zhu, Mingyu Luo, Minghua Zhu, Xiumin Fan, Zelin Zhou

Proceedings of the Virtual, Augmented and Mixed Reality. Industrial and Everyday Life Applications, 2020

Privacy Preserving Facial Recognition Against Model Inversion Attacks.

Pavana Prakash, Jiahao Ding, Hongning Li, Sai Mounika Errapotu, Qingqi Pei, Miao Pan

Proceedings of the IEEE Global Communications Conference, 2020

Towards Plausible Differentially Private ADMM Based Distributed Machine Learning.

Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Differentially Private and Fair Classification via Calibrated Functional Mechanism.

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Deep Q-Network-Based Route Scheduling for TNC Vehicles With Passengers' Location Differential Privacy.

Dian Shi, Jiahao Ding, Sai Mounika Errapotu, Hao Yue, Wenjun Xu, Xiangwei Zhou, Miao Pan

IEEE Internet Things J., 2019

Optimal Differentially Private ADMM for Distributed Machine Learning.

Jiahao Ding, Yanmin Gong, Miao Pan, Zhu Han

CoRR, 2019

Stochastic ADMM Based Distributed Machine Learning with Differential Privacy.

Jiahao Ding, Sai Mounika Errapotu, Haijun Zhang, Yanmin Gong, Miao Pan, Zhu Han

Proceedings of the Security and Privacy in Communication Networks, 2019

Differentially Private Functional Mechanism for Generative Adversarial Networks.

Xinyue Zhang, Jiahao Ding, Sai Mounika Errapotu, Xiaoxia Huang, Pan Li, Miao Pan

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Differentially Private Robust ADMM for Distributed Machine Learning.

Jiahao Ding, Xinyue Zhang, Mingsong Chen, Kaiping Xue, Chi Zhang, Miao Pan

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Deep Q-Network Based Route Scheduling for Transportation Network Company Vehicles.

Dian Shi, Jiahao Ding, Sai Mounika Errapotu, Hao Yue, Wenjun Xu, Xiangwei Zhou, Miao Pan

Proceedings of the IEEE Global Communications Conference, 2018