Coresets for differentially private k-means clustering and applications to privacy in mobile sensor networks
Dan Feldman, Chongyuan Xiang, Ruihao Zhu, Daniela L. Rus · 2017
Mobile sensor networks are a great source of data. By collecting data with mobile sensor nodes from individuals in a user community, e.g. using their smartphones, we can learn global information such as traffic congestion patterns in the city, location of key community facilities, and locations of gathering places. Can we publish and run queries on mobile sensor network databases without disclosing information about individual nodes?