@inproceedings{wang2025,
  title     = {{Unraveling Elevated Data Leakage in Split Learning for Fine-Tuning Stable Diffusion Models}},
  author    = {Fei Wang and Yan Zhu and Baochun Li},
  booktitle = {The 20th ACM ASIA Conference on Computer and Communications Security},
  year      = {2025},
}

@misc{emara2025,
  title     = {{Lethe: Interference-Based Forgetting for Continual Reinforcement Learning in Robotic Agents}},
  author    = {Salma Emara and Baochun Li and Timothy Zeyl and Daniel Liu and Fei Wang},
  booktitle = {Under submission},
  year      = {2025},
}

@misc{wang2025,
  title     = {{Expert Pathway Recovery through Structural Memorization in Fine-Tuned Mixture-of-Experts Large Language Models}},
  author    = {Fei Wang and Baochun Li and Bo Li},
  booktitle = {ResearchGate Preprint},
  year      = {2025},
}

@misc{wang2025,
  title     = {{Leaner Training, Lower Leakage: Revisiting Memorization in LLM Fine-Tuning with LoRA}},
  author    = {Fei Wang and Baochun Li},
  booktitle = {arXiv Preprint},
  year      = {2025},
}

@misc{wang2025,
  title     = {{Hear No Evil: Detecting Gradient Leakage by Malicious Servers in Federated Learning}},
  author    = {Fei Wang and Baochun Li},
  booktitle = {arXiv Preprint},
  year      = {2025},
}

@article{wang2024,
  title     = {{Data Reconstruction and Protection in Federated Learning for Fine-Tuning Large Language Models}},
  author    = {Fei Wang and Baochun Li},
  journal = {IEEE Transactions on Big Data, Special Section on Pre-Trained Large Language Models},
  year      = {2024},
}

@article{wang2024,
  title     = {{More than Enough is Too Much: Adaptive Defenses against Gradient Leakage in Production Federated Learning}},
  author    = {Fei Wang and Ethan Hugh and Baochun Li},
  journal = {IEEE/ACM Transactions on Networking},
  year      = {2024},
  note      = {vol. 32, no. 4, pp. 3061-3075},
}

@article{wang2024,
  title     = {{Harnessing the Power of Local Supervision in Federated Learning}},
  author    = {Fei Wang and Baochun Li},
  journal = {IEEE Transactions on Big Data, Special Issue on Federated Learning for Big Data Applications},
  year      = {2024},
  note      = {vol. 11, no. 5, pp. 2162-2173},
}

@inproceedings{emara2024,
  title     = {{Cascade: Enhancing Reinforcement Learning with Curriculum Federated Learning and Interference Avoidance — A Case Study in Adaptive Bitrate Selection}},
  author    = {Salma Emara and Daniel Liu and Fei Wang and Baochun Li},
  booktitle = {IEEE International Conference on Computer Communications, Workshop on Distributed Machine Learning and Fog Networks},
  year      = {2024},
}

@article{wang2023,
  title     = {{Federated Unlearning and Its Privacy Threats}},
  author    = {Fei Wang and Baochun Li and Bo Li},
  journal = {IEEE Network},
  year      = {2023},
  note      = {vol. 38, no. 2, pp. 294-300},
}

@inproceedings{li2023,
  title     = {{Plato: An Open-Source Research Framework for Production Federated Learning}},
  author    = {Baochun Li and Ningxin Su and Chen Ying and Fei Wang},
  booktitle = {ACM Turing Award Celebration Conference},
  year      = {2023},
}

@inproceedings{wang2023,
  title     = {{Multi-Agent Deep Reinforcement Learning for Cooperative Edge Caching via Hybrid Communication}},
  author    = {Fei Wang and Salma Emara and Isidor Kaplan and Baochun Li and Timothy Zeyl},
  booktitle = {IEEE International Conference on Communications, Selected Areas in Communications — Machine Learning for Communications and Networking Track},
  year      = {2023},
}

@inproceedings{wang2023,
  title     = {{More than Enough is Too Much: Adaptive Defenses against Gradient Leakage in Production Federated Learning}},
  author    = {Fei Wang and Ethan Hugh and Baochun Li},
  booktitle = {IEEE International Conference on Computer Communications},
  year      = {2023},
}

@misc{hu2023,
  title     = {{Method and Apparatus for Multiple Reinforcement Learning Agents in a Shared Environment}},
  author    = {Zhenhua Hu and Timothy J. Zeyl and Salma Emara and Baochun Li and Fei Wang},
  booktitle = {University of Toronto & Huawei Cloud Computing Technologies Co., Ltd.},
  year      = {2023},
}

@article{wang2022,
  title     = {{Quality-Oriented Federated Learning on the Fly}},
  author    = {Fei Wang and Baochun Li and Bo Li},
  journal = {IEEE Network, Special Issue on Federated Optimizations and Networked Edge Intelligence},
  year      = {2022},
  note      = {vol. 36, no. 5, pp. 152–159},
}

@article{emara2022,
  title     = {{Pareto: Fair Congestion Control with Online Reinforcement Learning}},
  author    = {Salma Emara and Fei Wang and Baochun Li and Timothy Zeyl},
  journal = {IEEE Transactions on Network Science and Engineering},
  year      = {2022},
  note      = {vol. 9, no. 5, pp. 3731–3748},
}

@inproceedings{emara2022,
  title     = {{Ivory: Learning Network Adaptive Streaming Codes}},
  author    = {Salma Emara and Fei Wang and Isidor Kaplan and Baochun Li},
  booktitle = {The 30th IEEE/ACM International Symposium on Quality of Service},
  year      = {2022},
}