| Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives T Shen, J Zhang, X Jia, F Zhang, Z Lv, K Kuang, C Wu, F Wu Frontiers of Information Technology & Electronic Engineering (FITEE), 2023 …, 2023 | 170* | 2023 |
| Federated unsupervised representation learning F Zhang, K Kuang, Z You, T Shen, J Xiao, Y Zhang, C Wu, Y Zhuang, X Li Frontiers of Information Technology & Electronic Engineering (FITEE), 2023, 2023 | 161 | 2023 |
| Edge-cloud polarization and collaboration: A comprehensive survey for ai J Yao, S Zhang, Y Yao, F Wang, J Ma, J Zhang, Y Chu, L Ji, K Jia, T Shen, ... IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022, 2022 | 112 | 2022 |
| Towards multi-level fairness and robustness on federated learning F Zhang, K Kuang, Y Liu, L Chen, J Lu, F Wu, C Wu, J Xiao International Conference on Machine Learning (ICML), 2022, 2022 | 31* | 2022 |
| Fairness-aware contrastive learning with partially annotated sensitive attributes F Zhang, K Kuang, L Chen, Y Liu, C Wu, J Xiao The Eleventh International Conference on Learning Representations (ICLR), 2023, 2023 | 26 | 2023 |
| Unified Fair Federated Learning for Digital Healthcare F Zhang, Z Shuai, K Kuang, F Wu, Y Zhuang, J Xiao Cell Press Patterns, 2024, 2023 | 14 | 2023 |
| Evaluation framework for large-scale federated learning L Liu, F Zhang, J Xiao, C Wu arXiv preprint, 2020, 2020 | 14 | 2020 |
| Distributed modelling approaches for data privacy preserving C Wu, F Zhang, F Wu IEEE International Conference on Multimedia Big Data (BigMM), 2019, 2019 | 11 | 2019 |
| Distributionally Generative Augmentation for Fair Facial Attribute Classification F Zhang, Q He, K Kuang, J Liu, L Chen, C Wu, J Xiao, H Zhang Computer Vision and Pattern Recognition (CVPR), 2024, 2024 | 3 | 2024 |
| Training encrypted models with privacy-preserved data on blockchain L Liu, Y Hu, J Yu, F Zhang, G Huang, J Xiao, C Wu International Conference on Vision, Image and Signal Processing (ICVISP), 2019, 2019 | 3 | 2019 |
| Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning J Li, H Zhang, F Zhang, TW Chang, K Kuang, L Chen, J Zhou The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024, 2024 | 1 | 2024 |
| R3HF: Reward Redistribution for Enhancing Reinforcement Learning from Human Feedback J Li, T Chang, F Zhang, K Kuang, L Chen arXiv preprint arXiv:2411.08302, 2024 | | 2024 |
| FairDR: Ensuring Fairness in Mixed Data of Fairly and Unfairly Treated Instances Y Liu, K Kuang, F Zhang, F Wu CAAI International Conference on Artificial Intelligence (CICAI), 2023, 2023 | | 2023 |
Kun KuangZhejiang University在 zju.edu.cn 的电子邮件经过验证
