We are conducting research on the fundamental theory and platform technologies for distributed machine learning. Mainly focusing on Federated Learning, we are researching processing allocation optimization that adapts to dynamically changes in resource and geographic information of IoT nodes, a programming model for comprehensive representation of fairness and diversity in the AI model.
