Ivory: Learning Network Adaptive Streaming Codes. - Salma Emara; Fei Wang 075; Isidor Kaplan; Baochun Li (IWQoS, 2022)

Quality-Oriented Federated Learning on the Fly. - Fei Wang 075; Baochun Li; Bo Li 001 (IEEE Netw., 2022)

Pareto: Fair Congestion Control With Online Reinforcement Learning. - Salma Emara; Fei Wang 075; Baochun Li; Timothy Zeyl (IEEE Trans. Netw. Sci. Eng., 2022)

Plato: An Open-Source Research Framework for Production Federated Learning. - Baochun Li; Ningxin Su; Chen Ying; Fei Wang 075 (ACM TUR-C, 2023)

Multi-Agent Deep Reinforcement Learning for Cooperative Edge Caching via Hybrid Communication. - Fei Wang 075; Salma Emara; Isidor Kaplan; Baochun Li; Timothy Zeyl (ICC, 2023)

Cascade: Enhancing Reinforcement Learning with Curriculum Federated Learning and Interference Avoidance - A Case Study in Adaptive Bitrate Selection. - Salma Emara; Daniel Liu; Fei Wang 075; Baochun Li (INFOCOM (Workshops), 2024)

Federated Unlearning and Its Privacy Threats. - Fei Wang 075; Baochun Li; Bo Li 001 (IEEE Netw., 2024)

More Than Enough is Too Much: Adaptive Defenses Against Gradient Leakage in Production Federated Learning. - Fei Wang 075; Ethan Hugh; Baochun Li (IEEE/ACM Trans. Netw., 2024)

Hear No Evil: Detecting Gradient Leakage by Malicious Servers in Federated Learning. - Fei Wang 075; Baochun Li (CoRR, 2025)

Leaner Training, Lower Leakage: Revisiting Memorization in LLM Fine-Tuning with LoRA. - Fei Wang 075; Baochun Li (CoRR, 2025)