| Federated learning on heterogeneous and long-tailed data via classifier re-training with federated features X Shang, Y Lu, G Huang, H Wang International Joint Conference on Artificial Intelligence (IJCAI), 2218-2224, 2022 | 43 | 2022 |
| Revisiting weighted aggregation in federated learning with neural networks Z Li, T Lin, X Shang, C Wu International Conference on Machine Learning (ICML), 2023 | 29 | 2023 |
| Fedic: Federated learning on non-iid and long-tailed data via calibrated distillation X Shang, Y Lu, Y Cheung, H Wang 2022 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022 | 20 | 2022 |
| No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier Z Li, X Shang, R He, T Lin, C Wu International Conference on Computer Vision (ICCV), 2023 | 19 | 2023 |
| Federated Semi-Supervised Learning with Annotation Heterogeneity X Shang, G Huang, Y Lu, J Lou, B Han, Y Cheung, H Wang arXiv preprint arXiv:2303.02445, 2023 | 1 | 2023 |
| Understanding the Training Dynamics in Federated Deep Learning via Aggregation Weight Optimization Z Li, T Lin, X Shang, C Wu | | 2022 |
| Appendix of No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier Z Li, X Shang, R He, T Lin, C Wu | | |
Yang Lu (卢杨)Assistant Professor, Xiamen UniversityVerified email at xmu.edu.cn
