@article{lan2025mappo,title={{MaPPO}: Maximum a Posteriori Preference Optimization with Prior Knowledge},author={Lan, Guangchen and Zhang, Sipeng and Wang, Tianle and Zhang, Yuwei and Zhang, Daoan and Wei, Xinpeng and Pan, Xiaoman and Zhang, Hongming and Han, Dong-Jun and Brinton, Christopher G},journal={arXiv:2507.21183},year={2025},}
@inproceedings{lan2025contextual,title={Contextual Integrity in {LLMs} via Reasoning and Reinforcement Learning},author={Lan, Guangchen and Inan, Huseyin A and Abdelnabi, Sahar and Kulkarni, Janardhan and Wutschitz, Lukas and Shokri, Reza and Brinton, Christopher G and Sim, Robert},booktitle={NeurIPS},year={2025},}
@inproceedings{lan2025asynchronous,title={Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis},author={Lan, Guangchen and Han, Dong-Jun and Hashemi, Abolfazl and Aggarwal, Vaneet and Brinton, Christopher G},booktitle={ICLR},year={2025},}
@inproceedings{lan2023improved,title={Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates},author={Lan, Guangchen and Wang, Han and Anderson, James and Brinton, Christopher and Aggarwal, Vaneet},booktitle={NeurIPS},year={2023},}
IEEE Trans
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
@article{lan2023communication,title={Communication-Efficient Federated Learning for Resource-Constrained Edge Devices},author={Lan, Guangchen and Liu, Xiao-Yang and Zhang, Yijing and Wang, Xiaodong},journal={IEEE Transactions on Machine Learning in Communications and Networking},year={2023},}