| Fedsiam: Towards adaptive federated semi-supervised learning Z Long, L Che, Y Wang, M Ye, J Luo, J Wu, H Xiao, F Ma arXiv preprint arXiv:2012.03292, 2020 | 38* | 2020 |
| Fedcon: A contrastive framework for federated semi-supervised learning Z Long, J Wang, Y Wang, H Xiao, F Ma arXiv preprint arXiv:2109.04533, 2021 | 23 | 2021 |
| FedTriNet: A pseudo labeling method with three players for federated semi-supervised learning L Che, Z Long, J Wang, Y Wang, H Xiao, F Ma 2021 IEEE International Conference on Big Data (Big Data), 715-724, 2021 | 18 | 2021 |
| Knowledge-enhanced semi-supervised federated learning for aggregating heterogeneous lightweight clients in iot J Wang, S Zeng, Z Long, Y Wang, H Xiao, F Ma Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 11 | 2023 |
Fenglong MaPennsylvania State University在 psu.edu 的电子邮件经过验证
