Leveraging Synthetic Data for Secure Collaborative Machine Learning in Industrial Applications Leveraging Synthetic Data for Secure Collaborative Machine Learning in Industrial Applications Supervisor(s): Andy Ludwig Status: inprogress Topic: Machine Learning Methods Author: Robert Haimerl Submission: 2025-04-15 Type of Thesis: Masterthesis Thesis topic in co-operation with the Fraunhofer Institute for Applied and Integrated Security AISEC, Garching Description