| Federated learning with fair averaging Z Wang, X Fan, J Qi, C Wen, C Wang, R Yu arXiv preprint arXiv:2104.14937, 2021 | 78 | 2021 |
| Fedgs: Federated graph-based sampling with arbitrary client availability Z Wang, X Fan, J Qi, H Jin, P Yang, S Shen, C Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 10271 …, 2023 | 4 | 2023 |
| FedAVE: Adaptive data value evaluation framework for collaborative fairness in federated learning Z Wang, Z Peng, X Fan, Z Wang, S Wu, R Yu, P Yang, C Zheng, C Wang Neurocomputing 574, 127227, 2024 | 3 | 2024 |
| Flgo: A fully customizable federated learning platform Z Wang, X Fan, Z Peng, X Li, Z Yang, M Feng, Z Yang, X Liu, C Wang arXiv preprint arXiv:2306.12079, 2023 | 2 | 2023 |
| Selective Knowledge Sharing for Personalized Federated Learning Under Capacity Heterogeneity Z Wang, Z Peng, Z Wang, C Wang arXiv preprint arXiv:2405.20589, 2024 | | 2024 |
| FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning Z Wang, Z Wang, L Lyu, Z Peng, Z Yang, C Wen, R Yu, C Wang, X Fan arXiv preprint arXiv:2405.18291, 2024 | | 2024 |
| FedPFT: Federated Proxy Fine-Tuning of Foundation Models Z Peng, X Fan, Y Chen, Z Wang, S Pan, C Wen, R Zhang, C Wang arXiv preprint arXiv:2404.11536, 2024 | | 2024 |
| A Robust Detection and Correction Framework for GNN-Based Vertical Federated Learning Z Yang, X Fan, Z Wang, Z Wang, C Wang Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 97-108, 2023 | | 2023 |
Chenglu WenProfessor of Xiamen University在 xmu.edu.cn 的电子邮件经过验证
