| On the convergence of fedavg on non-iid data X Li, K Huang, W Yang, S Wang, Z Zhang arXiv preprint arXiv:1907.02189, 2019 | 2068 | 2019 |
| Communication-efficient local decentralized SGD methods X Li, W Yang, S Wang, Z Zhang arXiv preprint arXiv:1910.09126, 2019 | 105* | 2019 |
| A regularized approach to sparse optimal policy in reinforcement learning W Yang, X Li, Z Zhang Advances in Neural Information Processing Systems 32, 2019 | 35* | 2019 |
| 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 | 17 | 2022 |
| Statistical estimation and online inference via local SGD X Li, J Liang, X Chang, Z Zhang Conference on Learning Theory, 1613-1661, 2022 | 17* | 2022 |
| A statistical analysis of polyak-ruppert averaged q-learning X Li, W Yang, J Liang, Z Zhang, MI Jordan International Conference on Artificial Intelligence and Statistics, 2207-2261, 2023 | 14* | 2023 |
| Communication-efficient distributed SVD via local power iterations X Li, S Wang, K Chen, Z Zhang International Conference on Machine Learning, 6504-6514, 2021 | 14 | 2021 |
| Do subsampled Newton methods work for high-dimensional data? X Li, S Wang, Z Zhang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4723-4730, 2020 | 11 | 2020 |
| Variance-aware robust reinforcement learning with linear function approximation under heavy-tailed rewards X Li, Q Sun arXiv preprint arXiv:2303.05606, 2023 | 7 | 2023 |
| Online statistical inference for nonlinear stochastic approximation with markovian data X Li, J Liang, Z Zhang arXiv preprint arXiv:2302.07690, 2023 | 7 | 2023 |
| Privacy-preserving distributed SVD via federated power X Guo, X Li, X Chang, S Wang, Z Zhang arXiv e-prints, arXiv: 2103.00704, 2021 | 7 | 2021 |
| Delayed projection techniques for linearly constrained problems: Convergence rates, acceleration, and applications X Li, Z Zhang arXiv preprint arXiv:2101.01505, 2021 | 4 | 2021 |
| Finding the near optimal policy via adaptive reduced regularization in MDPs W Yang, X Li, G Xie, Z Zhang arXiv preprint arXiv:2011.00213, 2020 | 3 | 2020 |
| Finite-Time Decoupled Convergence in Nonlinear Two-Time-Scale Stochastic Approximation Y Han, X Li, Z Zhang arXiv preprint arXiv:2401.03893, 2024 | 1 | 2024 |
| Privacy-preserving community detection for locally distributed multiple networks X Guo, X Li, X Chang, S Ma arXiv preprint arXiv:2306.15709, 2023 | 1 | 2023 |
| Statistical analysis of karcher means for random restricted psd matrices H Chen, X Li, Q Sun International Conference on Artificial Intelligence and Statistics, 1437-1456, 2023 | 1 | 2023 |
| A Statistical Framework of Watermarks for Large Language Models: Pivot, Detection Efficiency and Optimal Rules X Li, F Ruan, H Wang, Q Long, WJ Su arXiv preprint arXiv:2404.01245, 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 |
| Stochastic Approximation MCMC, Online Inference, and Applications in Optimization of Queueing Systems X Li, J Liang, X Chen, Z Zhang arXiv preprint arXiv:2309.09545, 2023 | | 2023 |
| 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 | | 2023 |
Zhihua ZhangProfessor of Computer Science, Shanghai Jiao Tong UniversityVerified email at zju.edu.cn
