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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

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