| FedHybrid: A hybrid federated optimization method for heterogeneous clients X Niu, E Wei IEEE Transactions on Signal Processing 71, 150-163, 2023 | 23* | 2023 |
| Understanding generalization of federated learning via stability: Heterogeneity matters Z Sun, X Niu, E Wei International Conference on Artificial Intelligence and Statistics, 676-684, 2024 | 10 | 2024 |
| Dish: A distributed hybrid primal-dual optimization framework to utilize system heterogeneity X Niu, E Wei 2022 IEEE 61st Conference on Decision and Control (CDC), 6503-6510, 2022 | 5 | 2022 |
| Exact community recovery in the geometric SBM J Gaudio, X Niu, E Wei Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2024 | 3 | 2024 |
| Dish: A distributed hybrid optimization method leveraging system heterogeneity X Niu, E Wei IEEE Transactions on Signal Processing, 2024 | 1 | 2024 |
| Exact Label Recovery in Euclidean Random Graphs J Gaudio, C Guan, X Niu, E Wei arXiv preprint arXiv:2407.11163, 2024 | 1 | 2024 |
| Collaborative Learning with Shared Linear Representations: Statistical Rates and Optimal Algorithms X Niu, L Su, J Xu, P Yang arXiv preprint arXiv:2409.04919, 2024 | | 2024 |
| Optimization and Statistical Inference in Networks X Niu Northwestern University, 2024 | | 2024 |
