Our CoContext project, funded by the DFG, has started, in collaboration with Jan Rupp and Nadja Käding from UKSH. The CoContext project aims at developing distributed clustering methods for audio fingerprints for contact context estimation and, together with UKSH, collects audio data on coughing data and speaking with mask data in a controlled hospital environment, to asses the quality of public datasets.

Our PRIVEE project, funded by the Volkswagen Foundation, has started, in collaboration with Stefan Fischer and Thomas Martinetz from UzL. The PRIVEE project focuses on privacy-preserving extensions of contact-tracing apps with alternative smartphone sensors. See this news article for more information.

Tool-Paper

A Toolchain for Privacy-Preserving Distributed Aggregation on Edge-Device
Johannes Liebenow, Timothy Imort, Yannick Fuchs, Marcel Heisel, Nadja Käding, Jan Rupp, Esfandiar Mohammadi
Link: https://link.springer.com/article/10.1007/s13218-023-00823-8