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Paper

Code

Slides

Patent

Best Paper Award

2025

Unraveling Elevated Data Leakage in Split Learning for Fine-Tuning Stable Diffusion Models

Fei Wang, Yan Zhu, Baochun Li

The 20th ACM ASIA Conference on Computer and Communications Security • Hanoi, Vietnam • August 25–29, 2025

ACM AsiaCCSCCF C & Core A

2024

Data Reconstruction and Protection in Federated Learning for Fine-Tuning Large Language Models

Fei Wang, Baochun Li

IEEE Transactions on Big Data, Special Section on Pre-Trained Large Language Models • 2024

IEEE TBDCCF C

More than Enough is Too Much: Adaptive Defenses against Gradient Leakage in Production Federated Learning

Fei Wang, Ethan Hugh, Baochun Li

IEEE/ACM Transactions on Networking • 2024

IEEE/ACM TONCCF A

Cascade: Enhancing Reinforcement Learning with Curriculum Federated Learning and Interference Avoidance — A Case Study in Adaptive Bitrate Selection

Salma Emara, Daniel Liu, Fei Wang, Baochun Li

IEEE International Conference on Computer Communications, Workshop on Distributed Machine Learning and Fog Networks • Vancouver, Canada • May 20–23, 2024

IEEE INFOCOM WorkshopCCF A & Core A*

2023

Harnessing the Power of Local Supervision in Federated Learning

Fei Wang, Baochun Li

IEEE Transactions on Big Data, Special Issue on Federated Learning for Big Data Applications • 2023

IEEE TBDCCF C

Federated Unlearning and Its Privacy Threats

Fei Wang, Baochun Li, Bo Li

IEEE Network • 2023

IEEE Network

Plato: An Open-Source Research Framework for Production Federated Learning

Baochun Li, Ningxin Su, Chen Ying, Fei Wang

ACM Turing Award Celebration Conference • Wuhan, China • July 28–30, 2023

ACM TURC

Multi-Agent Deep Reinforcement Learning for Cooperative Edge Caching via Hybrid Communication

Fei Wang, Salma Emara, Isidor Kaplan, Baochun Li, Timothy Zeyl

IEEE International Conference on Communications, Selected Areas in Communications — Machine Learning for Communications and Networking Track • Rome, Italy • May 28–June 1, 2023

IEEE ICCCCF C

More than Enough is Too Much: Adaptive Defenses against Gradient Leakage in Production Federated Learning

Fei Wang, Ethan Hugh, Baochun Li

IEEE International Conference on Computer Communications • New York Area, U.S.A. • May 17–20, 2023

IEEE INFOCOMCCF A & Core A*

Method and Apparatus for Multiple Reinforcement Learning Agents in a Shared Environment

Zhenhua Hu, Timothy J. Zeyl, Salma Emara, Baochun Li, Fei Wang

University of Toronto & Huawei Cloud Computing Technologies Co., Ltd. • July 6, 2023

US Patent

2022

Quality-Oriented Federated Learning on the Fly

Fei Wang, Baochun Li, Bo Li

IEEE Network, Special Issue on Federated Optimizations and Networked Edge Intelligence • vol. 36, no. 5, pp. 152–159 • September–October 2022

IEEE Network

Pareto: Fair Congestion Control with Online Reinforcement Learning

Salma Emara, Fei Wang, Baochun Li, Timothy Zeyl

IEEE Transactions on Network Science and Engineering • vol. 9, no. 5, pp. 3731–3748 • September–October 2022

IEEE TNSE

Ivory: Learning Network Adaptive Streaming Codes

Salma Emara, Fei Wang, Isidor Kaplan, Baochun Li

The 30th IEEE/ACM International Symposium on Quality of Service • Online • June 10–12, 2022

IEEE IWQoSCCF B & Core B