AI-Driven Data Management on Distributed Computing for Digital Healthcare

This research aims to optimize the processing of medical data by developing and implementing an efficient distributed computing platform by leveraging machine learning and edge computing. By doing so, we seek to strike a balance between the computational requirements of machine learning models and the need to process medical data locally in many mobile medical imaging scenarios, thus addressing the challenges posed by volume, privacy, and security.