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Dun Zeng (曾趸)
Hi there! I'm currently an AI researcher at OPPO Research Institute, studying data-centric techniques for LLMs.
Before that, I worked with Prof.
Zenglin
Xu. and received my Ph.D. from the University of Electronic
Science and Technology of China (UESTC). And, I received my Bachelor’s Degree from Ocean
University of China (OUC) in 2020.
I’m currently working on multi-modal LLMs for information retrieval and verifying my theories in real-world applications. And, I’m interested in Federated Learning, Distributed Learning, and Stochastic Optimization Theory.
I am pursuing academic collaborations, particularly in the field of distributed optimization and LLMs. Please feel free to reach out!
Email /
Scholar /
Github /
Zhihu
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Publications (* denotes equal contribution)
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FedLab: A Flexible Federated Learning Framework [Code]
Dun Zeng*, Siqi Liang*, Xiangjin Hu, Hui Wang, Zenglin Xu
JMLR, 2023.
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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
EMNLP Findings, 2024.
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Stochastic Clustered Federated Learning [Code]
Dun Zeng, Xiangjing Hu, Shiyu Liu, Yue Yu, Qifan Wang, Zenglin Xu
KDD FL4Data-Mining Workshop, 2023.
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On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond [Code]
Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang
AISTATS, 2025.
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Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization [Code]
Dun Zeng*, Zheshun Wu*, Shiyu Liu, Yu Pan, Xiaoying Tang, Zenglin Xu
preprint, 2024.
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Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance [Code]
Dun Zeng, Zenglin Xu, Yu Pan, Xu Luo, Qifan Wang, Xiaoying Tang
TMLR, 2025.
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Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization
Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
ICDM, 2023.
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A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy
Yifei Zhang*, Dun Zeng*, Jinglong Luo*, Zenglin Xu, Irwin King
WWW, 2023.
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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.
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Advocating for the Silent: Enhancing Federated Generalization for Nonparticipating Clients
Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang, Jie Liu
IEEE TNNLS, 2024.
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