Lennart Behme's project, ''Federated-Data-as-a-Service: A System for Private and Collaborative Machine Learning'', aims at
developing a system for end-to-end Federated Learning (FL) across organizational boundaries. Current FL systems do not solve
the data management challenges of cross-silo FL, such as data discovery, data integration, or system-inherent privacy guarantees.
Therefore, in order to fully leverage FL's capabilities for training machine learning models in a privacy-preserving manner,
we need a new system design that supports organizations throughout the entire process of implementing FL use cases.
In his project, Lennart will be working with Volkswagen, one of the largest car manufacturers in the world.
Project duration: 2023-2025
Funding source: the Software Campus