Collaboration on GeoPrivacy for Personalized Health

This is a bilateral collaboration project for networking and scientific exchange. We would like to build a collaborative network to address geoprivacy issues for personalized health and review the state of the arts in this field and the funding will be used for traveling and organizing events as well as publication activities. Both personal location and health data pose sensitive information risking one's security and privacy. While numerous privacy protection/preservation techniques have been proposed to share location and health data including (geo)masking, differential privacy, and synthetic data generation, distortion or loss of the information is unavoidable. Recently methods in remote data science, federated learning, and homomorphic encryption do not require sharing raw data but allow more comprehensive, flexible analyses. Thus, they have emerged as alternative approaches to privacy preserving data analytics, yet individual mobility and health domain has not deployed.