Area of research
Computer Networks and Communications · Artificial Intelligence
Research interest
Research interests include Computer science, Reinforcement learning, Intersection (aeronautics), Process (computing), Traffic congestion, and Server.
Prodigal: Backdoor defense for federated learning beyond robust aggregation
The Analysis and Optimization of Volatile Clients in Over-the-Air Federated Learning
Multi-Agent Deep Reinforcement Learning for Urban Traffic Light Control in Vehicular Networks
Energy and Delay Tradeoff for Application Offloading in Mobile Cloud Computing