理工学研究科 許 耘閣

異種モバイルエッジコンピューティングネットワークにおける通信効率を考慮した連合学習

My current research focuses on implementing secure and efficient federated learning in edge computing environments. Through collaborative training, my research aims to fully exploit the value of distributed edge data, promote deep integration between artificial intelligence and the Internet of Things, and support diverse applications in future intelligent societies across multiple sectors and use cases. In the future, I plan to work as a researcher in universities or technology companies, actively applying theoretical results to practical domains such as industry, transportation, healthcare, and public services, helping to bridge research and deployment.