Publications

Selected publications in reversed chronological order. For the complete list, please refer to my Google Scholar profile.

2025

  1. arXiv
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    MaPPO: Maximum a Posteriori Preference Optimization with Prior Knowledge
    Guangchen Lan, Sipeng Zhang, Tianle Wang, Yuwei Zhang, Daoan Zhang, Xinpeng Wei, and 4 more authors
    arXiv:2507.21183, 2025
  2. Contextual Integrity in LLMs via Reasoning and Reinforcement Learning
    Guangchen Lan, Huseyin A Inan, Sahar Abdelnabi, Janardhan Kulkarni, Lukas Wutschitz, Reza Shokri, and 2 more authors
    In NeurIPS, 2025
  3. Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
    Guangchen Lan, Dong-Jun Han, Abolfazl Hashemi, Vaneet Aggarwal, and Christopher G Brinton
    In ICLR, 2025

2023

  1. Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates
    Guangchen Lan, Han Wang, James Anderson, Christopher Brinton, and Vaneet Aggarwal
    In NeurIPS, 2023
  2. IEEE Trans
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    Communication-Efficient Federated Learning for Resource-Constrained Edge Devices
    Guangchen Lan, Xiao-Yang Liu, Yijing Zhang, and Xiaodong Wang
    IEEE Transactions on Machine Learning in Communications and Networking, 2023