| Fedil: Federated incremental learning from decentralized unlabeled data with convergence analysis N Yang, D Yuan, CZ Liu, Y Deng, W Bao arXiv preprint arXiv:2302.11823, 2023 | 6 | 2023 |
| Asynchronous semi-supervised federated learning with provable convergence in edge computing N Yang, D Yuan, Y Zhang, Y Deng, W Bao IEEE Network 36 (5), 136-143, 2022 | 4 | 2022 |
| Random padding data augmentation N Yang, L Zhong, F Huang, W Bao, D Yuan Australasian Conference on Data Science and Machine Learning, 3-18, 2023 | 2 | 2023 |
| FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder N Yang, X Chen, CZ Liu, D Yuan, W Bao, L Cui arXiv preprint arXiv:2303.11339, 2023 | 1 | 2023 |
| FocalMatch: Mitigating Class Imbalance of Pseudo Labels in Semi-Supervised Learning Y Deng, C Zhang, N Yang, H Chen Applied Sciences 12 (20), 10623, 2022 | 1 | 2022 |
| Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges Y Li, J Hu, Z Guo, N Yang, H Chen, D Yuan, W Ding arXiv preprint arXiv:2407.06754, 2024 | | 2024 |
| Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairness K Zhou, J Wen, N Yang, D Yuan, Q Lu, H Chen arXiv preprint arXiv:2407.01595, 2024 | | 2024 |
| Semi-Supervised Learning with Unlabeled Data: from Centralized to Distributed Systems N Yang | | 2024 |
| Check for Random Padding Data Augmentation Nan Yang, Laicheng Zhong, Fan Huang, Wei Bao, and Dong Yuan) ID Faculty of Engineering, The University of Sydney, Camperdown, Australia N Yang Data Science and Machine Learning: 21st Australasian Conference, AusDM 2023 …, 2023 | | 2023 |
| AdaptMatch: Adaptive Consistency Regularization for Semi-supervised Learning with Top-k Pseudo-labeling and Contrastive Learning N Yang, F Huang, D Yuan Australasian Joint Conference on Artificial Intelligence, 227-238, 2023 | | 2023 |
| Distributed Online Multi-Label Learning with Privacy Protection in Internet of Things F Huang, N Yang, H Chen, W Bao, D Yuan Applied Sciences 13 (4), 2713, 2023 | | 2023 |
| DeNAV: Decentralized Self-Supervised Learning with a Training Navigator X Chen, NAN YANG, CZ Liu, D Yuan | | |
Dong Yuanthe University of Sydney在 sydney.edu.au 的电子邮件经过验证
Dong Yuanthe University of Sydney在 sydney.edu.au 的电子邮件经过验证
Wei BaoThe University of Sydney在 sydney.edu.au 的电子邮件经过验证
Huaming ChenThe University of Sydney在 sydney.edu.au 的电子邮件经过验证
Yuning ZhangThe University of Sydney在 sydney.edu.au 的电子邮件经过验证