Secure Industrial Collaboration in Machine Learning Applications using Federated Learning and Differential Privacy Secure Industrial Collaboration in Machine Learning Applications using Federated Learning and Differential Privacy Supervisor(s): Andy Ludwig, Alexander Giehl Status: inprogress Topic: Others Author: Miriam Fehn Submission: 2025-03-17 Type of Thesis: Bachelorthesis Thesis topic in co-operation with the Fraunhofer Institute for Applied and Integrated Security AISEC, Garching Description