Fei Wang

According to our database, Fei Wang authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Leaner Training, Lower Leakage: Revisiting Memorization in LLM Fine-Tuning with LoRA.

Fei Wang, Baochun Li

CoRR, June, 2025

Hear No Evil: Detecting Gradient Leakage by Malicious Servers in Federated Learning.

Fei Wang, Baochun Li

CoRR, June, 2025

2024

More Than Enough is Too Much: Adaptive Defenses Against Gradient Leakage in Production Federated Learning.

Fei Wang, Ethan Hugh, Baochun Li

IEEE/ACM Trans. Netw., August, 2024

Federated Unlearning and Its Privacy Threats.

Fei Wang, Baochun Li, Bo Li

IEEE Netw., March, 2024

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

Proceedings of the IEEE INFOCOM 2024, 2024

2023

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

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

Proceedings of the IEEE International Conference on Communications, 2023

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

Baochun Li, Ningxin Su, Chen Ying, Fei Wang

Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022

Pareto: Fair Congestion Control With Online Reinforcement Learning.

Salma Emara, Fei Wang, Baochun Li, Timothy Zeyl

IEEE Trans. Netw. Sci. Eng., 2022

Quality-Oriented Federated Learning on the Fly.

Fei Wang, Baochun Li, Bo Li

IEEE Netw., 2022

Ivory: Learning Network Adaptive Streaming Codes.

Salma Emara, Fei Wang, Isidor Kaplan, Baochun Li

Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022