Sungwon Moon

According to our database, Sungwon Moon authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Client Selection for Federated Learning in Vehicular Edge Computing: A Deep Reinforcement Learning Approach.

Sungwon Moon, Yujin Lim

IEEE Access, 2024

Real-Time Trajectory Control for Vehicle based on Deep Reinforcement Learning.

Sungwon Moon, Seolwon Koo, Yujin Lim

Proceedings of the IEEE International Conference on Consumer Electronics, 2024

2023

Split and Federated Learning with Mobility in Vehicular Edge Computing.

Sungwon Moon, Yujin Lim

Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

2022

Federated Deep Reinforcement Learning Based Task Offloading with Power Control in Vehicular Edge Computing.

Sungwon Moon, Yujin Lim

Sensors, 2022

2021

Task Migration Based on Reinforcement Learning in Vehicular Edge Computing.

Sungwon Moon, Jaesung Park, Yujin Lim

Wirel. Commun. Mob. Comput., 2021