Latent dirichlet allocation model training with differential privacy F Zhao, X Ren, S Yang, Q Han, P Zhao, X Yang IEEE Transactions on Information Forensics and Security 16, 1290-1305, 2020 | 33 | 2020 |
A zeroth-order adaptive learning rate method to reduce cost of hyperparameter tuning for deep learning Y Li, X Ren, F Zhao, S Yang Applied Sciences 11 (21), 10184, 2021 | 15 | 2021 |
On privacy protection of latent dirichlet allocation model training F Zhao, X Ren, S Yang, X Yang arXiv preprint arXiv:1906.01178, 2019 | 8 | 2019 |
Federated multi-objective reinforcement learning F Zhao, X Ren, S Yang, P Zhao, R Zhang, X Xu Information Sciences 624, 811-832, 2023 | 6 | 2023 |
MPDM: A Multi-Paradigm Deployment Model for Large-Scale Edge-Cloud Intelligence L Wang, X Ren, C Zhao, F Zhao, S Yang IEEE Internet of Things Journal 10 (10), 8773-8785, 2022 | 3 | 2022 |
p-Power Exponential Mechanisms for Differentially Private Machine Learning Y Li, X Ren, F Zhao, S Yang Ieee Access 9, 155018-155034, 2021 | 1 | 2021 |
VertiMRF: Differentially Private Vertical Federated Data Synthesis F Zhao, Z Li, X Ren, B Ding, S Yang, Y Li Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
Understanding Byzantine Robustness in Federated Learning with A Black-box Server F Zhao, Y Xie, X Ren, B Ding, S Yang, Y Li arXiv preprint arXiv:2408.06042, 2024 | | 2024 |