2 papers
cs.AI2023
Towards solving ontological dissonance using network graphs
Maximilian Staebler, Frank Koester, Christoph Schlueter-Langdon
Data Spaces are an emerging concept for the trusted implementation of data-based applications and business models, offering a high degree of flexibility and sovereignty to all stak…
cs.LG2023
SoK: Assessing the State of Applied Federated Machine Learning
Tobias Müller, Maximilian Stäbler, Hugo Gascón +2
Machine Learning (ML) has shown significant potential in various applications; however, its adoption in privacy-critical domains has been limited due to concerns about data privacy…