| Variance reduced local sgd with lower communication complexity X Liang, S Shen, J Liu, Z Pan, E Chen, Y Cheng arXiv preprint arXiv:1912.12844, 2019 | 147 | 2019 |
| Faster distributed deep net training: Computation and communication decoupled stochastic gradient descent S Shen, L Xu, J Liu, X Liang, Y Cheng arXiv preprint arXiv:1906.12043, 2019 | 26 | 2019 |
| GDSRec: Graph-based decentralized collaborative filtering for social recommendation J Chen, X Xin, X Liang, X He, J Liu IEEE Transactions on Knowledge and Data Engineering 35 (5), 4813-4824, 2022 | 22 | 2022 |
| Accelerating local SGD for non-IID data using variance reduction X Liang, S Shen, E Chen, J Liu, Q Liu, Y Cheng, Z Pan Frontiers of Computer Science 17 (2), 172311, 2023 | 5 | 2023 |
| Span: A stochastic projected approximate newton method X Huang, X Liang, Z Liu, L Li, Y Yu, Y Li Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1520-1527, 2020 | 4 | 2020 |
| Long-term Joint Scheduling for Urban Traffic X Liang, L Wu, J Chen, Y Liu, R Yu, M Hou, H Wu, Y Ye, Q Liu, E Chen arXiv preprint arXiv:1910.12283, 2019 | 2 | 2019 |
| Communication-efficient federated learning with stagewise training strategy Y Cheng, S Shen, X Liang, J Liu, J Chen, T Zhang, E Chen Neural Networks 167, 460-472, 2023 | | 2023 |
