| Lower complexity bounds of finite-sum optimization problems: The results and construction Y Han, G Xie, Z Zhang Journal of Machine Learning Research 25 (2), 1-86, 2024 | 41 | 2024 |
| Personalized federated learning towards communication efficiency, robustness and fairness S Lin, Y Han, X Li, Z Zhang Advances in Neural Information Processing Systems 35, 30471-30485, 2022 | 26 | 2022 |
| Dippa: An improved method for bilinear saddle point problems G Xie, Y Han, Z Zhang arXiv preprint arXiv:2103.08270, 2021 | 15 | 2021 |
| Stochastic distributed optimization under average second-order similarity: Algorithms and analysis D Lin, Y Han, H Ye, Z Zhang Advances in Neural Information Processing Systems 36, 2024 | 13 | 2024 |
| Finite-Time Decoupled Convergence in Nonlinear Two-Time-Scale Stochastic Approximation Y Han, X Li, Z Zhang arXiv preprint arXiv:2401.03893, 2024 | 6 | 2024 |
| Asymptotic Behaviors and Phase Transitions in Projected Stochastic Approximation: A Jump Diffusion Approach J Liang, Y Han, X Li, Z Zhang arXiv preprint arXiv:2304.12953, 2023 | 1 | 2023 |
| Decoupled Functional Central Limit Theorems for Two-Time-Scale Stochastic Approximation Y Han, X Li, J Liang, Z Zhang arXiv preprint arXiv:2412.17070, 2024 | | 2024 |
| A Random Projection Approach to Personalized Federated Learning: Enhancing Communication Efficiency, Robustness, and Fairness Y Han, X Li, S Lin, Z Zhang Journal of Machine Learning Research 25 (380), 1-88, 2024 | | 2024 |
| Complete Asymptotic Analysis for Projected Stochastic Approximation and Debiased Variants J Liang, Y Han, X Li, Z Zhang 2023 59th Annual Allerton Conference on Communication, Control, and …, 2023 | | 2023 |
| Asymptotic behaviors of projected stochastic approximation: a jump diffusion perspective J Liang, Y Han, X Li, Z Zhang Advances in Neural Information Processing Systems 35, 34664-34676, 2022 | | 2022 |
Zhihua ZhangProfessor of Computer Science, Shanghai Jiao Tong UniversityVerified email at zju.edu.cn
