| Fedspeed: Larger local interval, less communication round, and higher generalization accuracy Y Sun, L Shen, T Huang, L Ding, D Tao The 11th International Conference on Learning Representations (ICLR 2023), 2023 | 27 | 2023 |
| Improving the model consistency of decentralized federated learning Y Shi, L Shen, K Wei, Y Sun, B Yuan, X Wang, D Tao The 40th International Conference on Machine Learning (ICML 2023), 2023 | 25 | 2023 |
| On efficient training of large-scale deep learning models: A literature review L Shen, Y Sun, Z Yu, L Ding, X Tian, D Tao arXiv preprint arXiv:2304.03589, 2023 | 16 | 2023 |
| Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape Y Sun, L Shen, S Chen, L Ding, D Tao The 40th International Conference on Machine Learning (ICML 2023), 2023 | 10 | 2023 |
| Visual Prompt Based Personalized Federated Learning G Li, W Wu, Y Sun, L Shen, B Wu, D Tao Transactions on Machine Learning Research (TMLR), 2023 | 10 | 2023 |
| Subspace based federated unlearning G Li, L Shen, Y Sun, Y Hu, H Hu, D Tao arXiv preprint arXiv:2302.12448, 2023 | 9 | 2023 |
| Fusion of Global and Local Knowledge for Personalized Federated Learning T Huang, L Shen, Y Sun, W Lin, D Tao Transactions on Machine Learning Research (TMLR), 2023 | 9 | 2023 |
| Efficient federated prompt tuning for black-box large pre-trained models Z Lin, Y Sun, Y Shi, X Wang, L Huang, L Shen, D Tao arXiv preprint arXiv:2310.03123, 2023 | 6 | 2023 |
| Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup Y Sun, L Shen, H Sun, L Ding, D Tao IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 | 6 | 2023 |
| Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization Y Sun, L Shen, D Tao The 37th Conference on Neural Information Processing Systems (NIPS 2023), 2023 | 5 | 2023 |
| FedGAMMA: Federated Learning With Global Sharpness-Aware Minimization R Dai, X Yang, Y Sun, L Shen, X Tian, M Wang, Y Zhang IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 | 4 | 2023 |
| Towards more suitable personalization in federated learning via decentralized partial model training Y Shi, Y Liu, Y Sun, Z Lin, L Shen, X Wang, D Tao arXiv preprint arXiv:2305.15157, 2023 | 4 | 2023 |
| Enhance local consistency in federated learning: A multi-step inertial momentum approach Y Liu, Y Sun, Z Ding, L Shen, B Liu, D Tao arXiv preprint arXiv:2302.05726, 2023 | 4 | 2023 |
| Which mode is better for federated learning? Centralized or Decentralized Y Sun, L Shen, D Tao arXiv preprint arXiv:2310.03461, 2023 | 1 | 2023 |
Li ShenSun Yat-sen UniversityVerified email at mail.sysu.edu.cn
