Comparing Privacy-Preserving Regularization Methods for Machine Learning
Comparing Privacy-Preserving Regularization Methods for Machine Learning
| Supervisor(s): | Mark Gall |
| Status: | inprogress |
| Topic: | Machine Learning Methods |
| Author: | Florian Koller |
| Submission: | 2025-02-21 |
| Type of Thesis: | Bachelorthesis |
Thesis topic in co-operation with the Fraunhofer Institute for Applied and Integrated Security AISEC, Garching
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