|
Dun Zeng (曾趸)
Hi there! I am currently a Ph.D. candidate at the University of Electronic
Science and
Technology of China (UESTC). I am very fortunately supervised by Prof.
Zenglin
Xu. Before that, I received my Bachelor’s Degree from Ocean
University of China
(OUC) in 2020.
My research interests primarily focus on Distributed Optimization and Federated Learning. I work on solving the challenge of conflicting optimization objectives in machine learning models, thereby improving the efficiency of data application in human society. Recently, I focused on designing, analyzing, and evaluating federated optimization algorithms, considering communication and heterogeneity to achieve a high generalization model in federated learning.
I am pursuing academic collaborations, particularly in the field of distributed optimization. Please feel free to reach out!
Email /
Scholar /
Github /
Zhihu
|
|
Publications (* denotes equal contribution)
|
-
FedLab: A Flexible Federated Learning Framework [Code]
Dun Zeng*, Siqi Liang*, Xiangjin Hu, Hui Wang, Zenglin Xu
Journal of Machine Learning Research, 2023.
-
Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization [Code]
Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang
preprint, 2023.
-
Enhanced Federated Optimization: Adaptive Unbiased Sampling with Reduced Variance [Code]
Dun Zeng, Zenglin Xu, Yu Pan, Xu Luo, Qifan Wang, Xiaoying Tang
preprint, 2023.
-
Stochastic Clustered Federated Learning [Code]
Dun Zeng, Xiangjing Hu, Shiyu Liu, Yue Yu, Qifan Wang, Zenglin Xu
KDD FL4Data-Mining Workshop, 2023.
-
On Diversified Preferences of Large Language Model Alignment [Code]
Dun Zeng*, Yong Dai*, Pengyu Cheng*, Longyue Wang, Tianhao Hu, Wanshun Chen, Nan Du, Zenglin Xu
preprint, 2023.
-
Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization
Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
International Conference on Data Mining (ICDM), 2023.
-
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy
Yifei Zhang*, Dun Zeng*, Jinglong Luo*, Zenglin Xu, Irwin King
Companion Proceedings of the ACM Web Conference, 2023.
-
Topology Learning for Heterogeneous Decentralized Federated Learning over Unreliable D2D Networks
Zheshun Wu, Zenglin Xu, Dun Zeng, Junfan Li, Jie Liu
IEEE Transactions on Vehicular Technology, 2024.
|