Seunghyun Yoon

About

Seunghyun Yoon is an Assistant Professor at the Korea Institute of Energy Technology in South Korea. His research areas include federated learning, deep reinforcement learning, and software-defined networks, as evidenced by his recent articles such as "FedSVD: Asynchronous Federated Learning With Stale Weight Vector Decomposition" and "DIVERGENCE: Deep Reinforcement Learning-Based Adaptive Traffic Inspection and Moving Target Defense Countermeasure Framework." He continues to contribute to advancements in network security and adaptive defense strategies in the field of energy technology.