Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates. - Guangchen Lan; Han Wang 016; James Anderson 001; Christopher G. Brinton; Vaneet Aggarwal (NeurIPS, 2023)

Communication Efficient and Privacy-Preserving Federated Learning Based on Evolution Strategies. - Guangchen Lan (CoRR, 2023)

Enhanced Real-Time Threat Detection in 5G Networks: A Self-Attention RNN Autoencoder Approach for Spectral Intrusion Analysis. - Mohammadreza Kouchaki; Minglong Zhang; Aly Sabri Abdalla; Guangchen Lan; Christopher G. Brinton; Vuk Marojevic (WiOpt, 2024)

SePPO: Semi-Policy Preference Optimization for Diffusion Alignment. - Daoan Zhang; Guangchen Lan; Dong-Jun Han; Wenlin Yao; Xiaoman Pan; Hongming Zhang 009; Mingxiao Li 004; Pengcheng Chen; Dong Yu 001; Christopher Brinton 001; Jiebo Luo 001 (CoRR, 2024)

Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis. - Guangchen Lan; Dong-Jun Han; Abolfazl Hashemi; Vaneet Aggarwal; Christopher Brinton 001 (ICLR, 2025)

Tensor Generalized Approximate Message Passing. - Yinchuan Li; Guangchen Lan; Xiaodong Wang 001 (CoRR, 2025)

Contextual Integrity in LLMs via Reasoning and Reinforcement Learning. - Guangchen Lan; Huseyin A. Inan; Sahar Abdelnabi; Janardhan Kulkarni; Lukas Wutschitz; Reza Shokri; Christopher G. Brinton; Robert Sim (CoRR, 2025)

MaPPO: Maximum a Posteriori Preference Optimization with Prior Knowledge. - Guangchen Lan; Sipeng Zhang; Tianle Wang 009; Yuwei Zhang; Daoan Zhang; Xinpeng Wei; Xiaoman Pan; Hongming Zhang 009; Dong-Jun Han; Christopher G. Brinton (CoRR, 2025)