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2020 – today
- 2024
[j2]Zheshun Wu
, Zenglin Xu, Dun Zeng, Junfan Li, Jie Liu:
Topology Learning for Heterogeneous Decentralized Federated Learning Over Unreliable D2D Networks. IEEE Trans. Veh. Technol. 73(8): 12201-12206 (2024)- 2023
- [j1]Dun Zeng, Siqi Liang, Xiangjing Hu, Hui Wang, Zenglin Xu:
FedLab: A Flexible Federated Learning Framework. J. Mach. Learn. Res. 24: 100:1-100:7 (2023) - [c3]Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao:
Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization. ICDM 2023: 1361-1366 - [c2]Xiangjing Hu, Congjian Luo, Dun Zeng, Zenglin Xu, Ping Guo, Irwin King:
Flexible Contribution Estimation Methods for Horizontal Federated Learning. IJCNN 2023: 1-8 - [c1]Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King:
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy. WWW (Companion Volume) 2023: 1167-1176 - [i12]Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King:
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy. CoRR abs/2302.10637 (2023) - [i11]Dun Zeng, Xiangjing Hu, Shiyu Liu, Yue Yu, Qifan Wang, Zenglin Xu:
Stochastic Clustered Federated Learning. CoRR abs/2303.00897 (2023) - [i10]Siqi Liang, Jintao Huang, Dun Zeng, Junyuan Hong, Jiayu Zhou, Zenglin Xu:
FedNoisy: Federated Noisy Label Learning Benchmark. CoRR abs/2306.11650 (2023) - [i9]Shiyu Liu, Shaogao Lv, Dun Zeng, Zenglin Xu, Hui Wang, Yue Yu:
Personalized Federated Learning via Amortized Bayesian Meta-Learning. CoRR abs/2307.02222 (2023) - [i8]Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang:
Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling. CoRR abs/2310.02698 (2023) - [i7]Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang:
Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization. CoRR abs/2310.02702 (2023) - [i6]Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang:
Federated Generalization via Information-Theoretic Distribution Diversification. CoRR abs/2310.07171 (2023) - [i5]Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao:
Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization. CoRR abs/2311.10341 (2023) - [i4]Dun Zeng, Yong Dai, Pengyu Cheng, Tianhao Hu, Wanshun Chen, Nan Du, Zenglin Xu:
On Diversified Preferences of Large Language Model Alignment. CoRR abs/2312.07401 (2023) - [i3]Zheshun Wu, Zenglin Xu, Dun Zeng, Junfan Li, Jie Liu:
Topology Learning for Heterogeneous Decentralized Federated Learning over Unreliable D2D Networks. CoRR abs/2312.13611 (2023) - 2022
- [i2]Dun Zeng, Shiyu Liu, Zenglin Xu:
Aggregating Gradients in Encoded Domain for Federated Learning. CoRR abs/2205.13216 (2022) - 2021
- [i1]Dun Zeng, Siqi Liang, Xiangjing Hu, Zenglin Xu:
FedLab: A Flexible Federated Learning Framework. CoRR abs/2107.11621 (2021)
Coauthor Index
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