| 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 | 146 | 2019 |
| Faster distributed deep net training: Computation and communication decoupled stochastic gradient descent S Shen, L Xu, J Liu, X Liang, Y Cheng IJCAI 2020, 2019 | 26 | 2019 |
| STL-SGD: Speeding up local SGD with stagewise communication period S Shen, Y Cheng, J Liu, L Xu Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9576-9584, 2021 | 6 | 2021 |
| 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 |
| Differentially private learning with per-sample adaptive clipping T Xia, S Shen, S Yao, X Fu, K Xu, X Xu, X Fu Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10444 …, 2023 | 4 | 2023 |
| An accelerated variance reducing stochastic method with Douglas-Rachford splitting J Liu, L Xu, S Shen, Q Ling Machine Learning 108, 859-878, 2019 | 3 | 2019 |
| Asynchronous stochastic composition optimization with variance reduction S Shen, L Xu, J Liu, J Guo, Q Ling arXiv preprint arXiv:1811.06396, 2018 | 3 | 2018 |
| Deep Unified Representation for Heterogeneous Recommendation C Lu, M Yin, S Shen, L Ji, Q Liu, H Yang Proceedings of the ACM Web Conference 2022, 2141-2152, 2022 | 2 | 2022 |
| Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data X Liao, C Chen, W Liu, P Zhou, H Zhu, S Shen, W Wang, M Hu, Y Tan, ... Proceedings of the 31st ACM International Conference on Multimedia, 1536-1545, 2023 | 1 | 2023 |
| Clean-image Backdoor Attacks D Rong, S Shen, X Fu, P Qian, J Chen, Q He, X Fu, W Wang arXiv preprint arXiv:2403.15010, 2024 | | 2024 |
| 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 |
Xianfeng LiangUniversity of Science and Technology of China在 mail.ustc.edu.cn 的电子邮件经过验证
