Short Description:
Privacy-preserving federated learning is an emerging machine learning paradigm that aims to learning
knowledge from data distributed on different places without requiring to transmitting the data to a
central server. This way, the privacy of the data can be preserved. This project aims to develop a
federated, communication efficient, secure federated learning framework that can training deep
learning models with distributed data.
Required skills (e.g. mandatory courses, if required)
• Basic knowledge of machine learning
• Hands-on Python programming skills
In case this would not find enough interest for a team project, this project proposal would be also
offered (in reduced/modified form)
• an individual project
• a project for only 2 students
Rhythmus | Tag | Uhrzeit | Format / Ort | Zeitraum |
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Modul | Veranstaltung | Leistungen | |
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39-M-Inf-GP Grundlagenprojekt Intelligente Systeme | weiteres Projekt | unbenotete Prüfungsleistung
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Studieninformation |
Die verbindlichen Modulbeschreibungen enthalten weitere Informationen, auch zu den "Leistungen" und ihren Anforderungen. Sind mehrere "Leistungsformen" möglich, entscheiden die jeweiligen Lehrenden darüber.