| Fedlab: A flexible federated learning framework D Zeng, S Liang, X Hu, H Wang, Z Xu Journal of Machine Learning Research 24 (100), 1-7, 2023 | 55 | 2023 |
| A survey of trustworthy federated learning with perspectives on security, robustness and privacy Y Zhang, D Zeng, J Luo, Z Xu, I King Companion Proceedings of the ACM Web Conference 2023, 1167-1176, 2023 | 16 | 2023 |
| Stochastic clustered federated learning D Zeng, X Hu, S Liu, Y Yu, Q Wang, Z Xu arXiv preprint arXiv:2303.00897, 2023 | 5 | 2023 |
| Tackling hybrid heterogeneity on federated optimization via gradient diversity maximization D Zeng, Z Xu, Y Pan, Q Wang, X Tang arXiv preprint arXiv:2310.02702, 2023 | 2 | 2023 |
| Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization M Wang, D Zeng, Z Xu, R Guo, X Zhao 2023 IEEE International Conference on Data Mining (ICDM), 1361-1366, 2023 | 1 | 2023 |
| Federated generalization via information-theoretic distribution diversification Z Wu, Z Xu, D Zeng, Q Wang arXiv preprint arXiv:2310.07171, 2023 | 1 | 2023 |
| Personalized Federated Learning via Amortized Bayesian Meta-Learning S Liu, S Lv, D Zeng, Z Xu, H Wang, Y Yu arXiv preprint arXiv:2307.02222, 2023 | 1 | 2023 |
| FedNoisy: Federated noisy label learning benchmark S Liang, J Huang, D Zeng, J Hong, J Zhou, Z Xu arXiv preprint arXiv:2306.11650, 2023 | 1 | 2023 |
| Encoded Gradients Aggregation against Gradient Leakage in Federated Learning D Zeng, S Liu, S Liang, Z Li, H Wang, I King, Z Xu arXiv preprint arXiv:2205.13216, 2022 | 1* | 2022 |
| Topology Learning for Heterogeneous Decentralized Federated Learning over Unreliable D2D Networks Z Wu, Z Xu, D Zeng, J Li, J Liu IEEE Transactions on Vehicular Technology, 2024 | | 2024 |
| On Diversified Preferences of Large Language Model Alignment D Zeng, Y Dai, P Cheng, L Wang, T Hu, W Chen, N Du, Z Xu arXiv preprint arXiv:2312.07401, 2023 | | 2023 |
| Enhanced Federated Optimization: Adaptive Unbiased Sampling with Reduced Variance D Zeng, Z Xu, Y Pan, Q Wang, X Tang arXiv preprint arXiv:2310.02698, 2023 | | 2023 |
| Flexible Contribution Estimation Methods for Horizontal Federated Learning X Hu, C Luo, D Zeng, Z Xu, P Guo, I King 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | | 2023 |
Zenglin XuHarbin Institute of Technology, Shenzhen & Peng Cheng Labhit.edu.cn의 이메일 확인됨
Zenglin XuHarbin Institute of Technology, Shenzhen & Peng Cheng Labhit.edu.cn의 이메일 확인됨