Incentivizing differentially private federated learning: A multidimensional contract approach M Wu, D Ye, J Ding, Y Guo, R Yu, M Pan
IEEE Internet of Things Journal 8 (13), 10639-10651, 2021
82 2021 Deep -Network-Based Route Scheduling for TNC Vehicles With Passengers’ Location Differential Privacy D Shi, J Ding, SM Errapotu, H Yue, W Xu, X Zhou, M Pan
IEEE Internet of Things Journal 6 (5), 7681-7692, 2019
49 2019 Differentially private and fair classification via calibrated functional mechanism J Ding, X Zhang, X Li, J Wang, R Yu, M Pan
Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 622-629, 2020
47 2020 IoT device friendly and communication-efficient federated learning via joint model pruning and quantization P Prakash, J Ding, R Chen, X Qin, M Shu, Q Cui, Y Guo, M Pan
IEEE Internet of Things Journal 9 (15), 13638-13650, 2022
37 2022 Adaptive privacy preserving deep learning algorithms for medical data X Zhang, J Ding, M Wu, STC Wong, H Van Nguyen, M Pan
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021
30 2021 Optimal differentially private ADMM for distributed machine learning J Ding, X Qin, W Xu, Y Gong, C Zhang, M Pan
arXiv preprint arXiv:1901.02094, 2019
27 2019 Stochastic ADMM based distributed machine learning with differential privacy J Ding, SM Errapotu, H Zhang, Y Gong, M Pan, Z Han
Security and Privacy in Communication Networks: 15th EAI International …, 2019
25 2019 Evaluation of inference attack models for deep learning on medical data M Wu, X Zhang, J Ding, H Nguyen, R Yu, M Pan, ST Wong
arXiv preprint arXiv:2011.00177, 2020
23 2020 Differentially private robust ADMM for distributed machine learning J Ding, X Zhang, M Chen, K Xue, C Zhang, M Pan
2019 ieee international conference on big data (big data), 1302-1311, 2019
22 2019 Differentially private and communication efficient collaborative learning J Ding, G Liang, J Bi, M Pan
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7219-7227, 2021
21 2021 3D geo-indistinguishability for indoor location-based services M Min, L Xiao, J Ding, H Zhang, S Li, M Pan, Z Han
IEEE Transactions on Wireless Communications 21 (7), 4682-4694, 2021
18 2021 Towards plausible differentially private ADMM based distributed machine learning J Ding, J Wang, G Liang, J Bi, M Pan
Proceedings of the 29th ACM International Conference on Information …, 2020
14 2020 Deep q-network based route scheduling for transportation network company vehicles D Shi, J Ding, SM Errapotu, H Yue, W Xu, X Zhou, M Pan
2018 IEEE Global Communications Conference (GLOBECOM), 1-7, 2018
14 2018 Finite Sample Guarantees of Differentially Private Expectation Maximization Algorithm D Wang, J Ding, L Hu, Z Xie, M Pan, J Xu
ECAI 2023, 2023
12 * 2023 Private empirical risk minimization with analytic gaussian mechanism for healthcare system J Ding, SM Errapotu, Y Guo, H Zhang, D Yuan, M Pan
IEEE Transactions on big data 8 (4), 1107-1117, 2020
12 2020 Differentially private functional mechanism for generative adversarial networks X Zhang, J Ding, SM Errapotu, X Huang, P Li, M Pan
2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019
11 2019 Privacy preserving facial recognition against model inversion attacks P Prakash, J Ding, H Li, SM Errapotu, Q Pei, M Pan
GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020
10 2020 Towards Fast and Accurate Federated Learning with non-IID Data for Cloud-Based IoT Applications T Liu, J Ding, T Wang, M Pan, M Chen
Journal of Circuits, Systems and Computers, 2022
8 2022 Mobile crowdsensing task allocation optimization with differentially private location privacy X Zhang, J Ding, X Li, T Yang, J Wang, M Pan
ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020
7 2020 Big data privacy preservation for cyber-physical systems M Pan, J Wang, SM Errapotu, X Zhang, J Ding, Z Han
Springer International Publishing, 2019
7 2019