Johan Östman

Johan leads the privacy-preserving machine learning initiatives at AI Sweden, Sweden’s national center for applied AI. His team is dedicated to mitigating information leakage from machine learning models and advancing decentralized machine learning methodologies. He is also co-leading a research group at Chalmers University of Technology, focusing on the privacy-security-utility tension within federated learning. Additionally, he is the project initiator of a federated learning project together with Handelsbanken and Swedbank to combat money laundering. He also leads a larger initiative investigating the nuances of information leakage. Johan holds a Ph.D. in Information Theory and dual master’s degrees in Electrical Engineering and Industrial Economics.