Dun Zeng

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 17

Top Topics

Tensor Factorization

Bregman Divergences

Learning Process

Top Venues

IEEE Trans. Veh. Technol.

J. Mach. Learn. Res.

Publications

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) (2024)
Zheshun Wu, Zenglin Xu, Dun Zeng, Junfan Li, Jie Liu
Topology Learning for Heterogeneous Decentralized Federated Learning over Unreliable D2D Networks. CoRR (2023)
Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang
Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization. CoRR (2023)
Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang
Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling. CoRR (2023)
Siqi Liang, Jintao Huang, Dun Zeng, Junyuan Hong, Jiayu Zhou, Zenglin Xu
FedNoisy: Federated Noisy Label Learning Benchmark. CoRR (2023)
Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization. CoRR (2023)
Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy. CoRR (2023)
Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang
Federated Generalization via Information-Theoretic Distribution Diversification. CoRR (2023)
Shiyu Liu, Shaogao Lv, Dun Zeng, Zenglin Xu, Hui Wang, Yue Yu
Personalized Federated Learning via Amortized Bayesian Meta-Learning. CoRR (2023)
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)
Dun Zeng, Siqi Liang, Xiangjing Hu, Hui Wang, Zenglin Xu
FedLab: A Flexible Federated Learning Framework. J. Mach. Learn. Res. 24 (2023)
Dun Zeng, Yong Dai, Pengyu Cheng, Tianhao Hu, Wanshun Chen, Nan Du, Zenglin Xu
On Diversified Preferences of Large Language Model Alignment. CoRR (2023)
Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization. ICDM (2023)
Xiangjing Hu, Congjian Luo, Dun Zeng, Zenglin Xu, Ping Guo, Irwin King
Flexible Contribution Estimation Methods for Horizontal Federated Learning. IJCNN (2023)
Dun Zeng, Xiangjing Hu, Shiyu Liu, Yue Yu, Qifan Wang, Zenglin Xu
Stochastic Clustered Federated Learning. CoRR (2023)
Dun Zeng, Shiyu Liu, Zenglin Xu
Aggregating Gradients in Encoded Domain for Federated Learning. CoRR (2022)
Dun Zeng, Siqi Liang, Xiangjing Hu, Zenglin Xu
FedLab: A Flexible Federated Learning Framework. CoRR (2021)