| Optimal rates of (locally) differentially private heavy-tailed multi-armed bandits Y Tao, Y Wu, P Zhao, D Wang The 25th International Conference on Artificial Intelligence and Statistics …, 2022 | 25 | 2022 |
| Decentralized parallel SGD with privacy preservation in vehicular networks D Yu, Z Zou, S Chen, Y Tao, B Tian, W Lv, X Cheng IEEE Transactions on Vehicular Technology 70 (6), 5211-5220, 2021 | 25 | 2021 |
| Privacy-preserving collaborative learning for multiarmed bandits in IoT S Chen, Y Tao, D Yu, F Li, B Gong, X Cheng IEEE Internet of Things Journal 8 (5), 3276-3286, 2020 | 20 | 2020 |
| Byzantine-resilient federated learning at edge Y Tao, S Cui, W Xu, H Yin, D Yu, W Liang, X Cheng IEEE Transactions on Computers 72 (9), 2600-2614, 2023 | 18 | 2023 |
| Distributed learning dynamics of multi-armed bandits for edge intelligence S Chen, Y Tao, D Yu, F Li, B Gong Journal of Systems Architecture 114, 101919, 2021 | 15 | 2021 |
| Private stochastic convex optimization and sparse learning with heavy-tailed data revisited Y Tao, Y Wu, X Cheng, D Wang The 31st International Joint Conference on Artificial Intelligence (IJCAI 2022), 2022 | 6 | 2022 |
| Communication Efficient and Provable Federated Unlearning Y Tao, CL Wang, M Pan, D Yu, X Cheng, D Wang Proceedings of the VLDB Endowment, Vol. 17, No. 5: 1119- 1131, 2024., 2024 | 4 | 2024 |
| A distributed privacy-preserving learning dynamics in general social networks Y Tao, S Chen, F Li, D Yu, J Yu, H Sheng IEEE Transactions on Knowledge and Data Engineering, 2023 | 4 | 2023 |
| On private and robust bandits Y Wu, X Zhou, Y Tao, D Wang The 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023 | 3 | 2023 |
| Private Over-the-Air Federated Learning at Band-Limited Edge Y Tao, S Chen, C Zhang, D Wang, D Yu, X Cheng, F Dressler IEEE Transactions on Mobile Computing, 2024 | | 2024 |
| Resource-Adaptive Newton's Method for Distributed Learning S Chen, Y Yuan, Y Tao, Z Cai, D Yu The 29th International Computing and Combinatorics Conference (COCOON 2023), 2023 | | 2023 |
| Robust Matroid Bandit Optimization against Adversarial Contamination Y Tao, X Cheng, F Dressler, Z Cai, D Yu | | |
| Optimizing Task Migration Decisions in Vehicular Edge Computing Environments Z Zhou, Y Tao, A Memedi, C Lee, S Ucar, O Altintas, F Dressler | | |
| Correlation-Aware and Personalized Privacy-Preserving Data Collection D Yu, K Zhang, Y Tao, W Xu, Y Zou, X Cheng International Conference on Computing, Networking and Communications (ICNC 2024), 0 | | |
Dongxiao YuProfessor of Computer Science, Shandong University在 sdu.edu.cn 的电子邮件经过验证
