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dunzeng/README.md

Hi there 👋

I'm currently an AI researcher at OPPO Research Institute, studying data-centric techniques for LLMs. Here are some facts about me:

  • 🤔 I’m currently working on multi-modal LLMs for information retrieval and verifying my theories in real-world applications.
  • 🌱 I’m interested in Federated Learning, Distributed Learning, and Stochastic Optimization Theory.
  • ⚡ I was a research intern in Pengcheng Lab, Tencent AI Lab, and Bytedance Data.
  • 🔭 I received my Ph.D. degree from UESTC in 2025 (advised by Zenglin Xu) and bachelor degree from OUC in 2020.

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  1. SMILELab-FL/FedLab SMILELab-FL/FedLab Public

    A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

    Jupyter Notebook 824 144

  2. FedAWARE FedAWARE Public

    Code for AISTATS'25 paper - On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond

    Python 14 2

  3. K-Vib K-Vib Public

    Code for TMLR paper - Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance

    Python 3

  4. MORE MORE Public

    Code for EMNLP'24 paper - On Diversified Preferences of Large Language Model Alignment

    Python 16

  5. StoCFL StoCFL Public

    Code for Neural Networks journal paper - StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic client participation

    Python 13 1

  6. Libra Libra Public

    Repo for preprint paper - Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization

    2