1 citations · 1 across the 1 of their papers we have counts for
3 papers
Optimizing Federated Learning by Entropy-Based Client Selection
Andreas Lutz, Gabriele Steidl, Karsten Müller +1
Although deep learning has revolutionized domains such as natural language processing and computer vision, its dependence on centralized datasets raises serious privacy concerns. F…
Efficient Federated Learning Tiny Language Models for Mobile Network Feature Prediction
Daniel Becking, Ingo Friese, Karsten Müller +4
In telecommunications, Autonomous Networks (ANs) automatically adjust configurations based on specific requirements (e.g., bandwidth) and available resources. These networks rely o…
A Privacy Preserving System for Movie Recommendations Using Federated Learning
David Neumann, Andreas Lutz, Karsten Müller +1
Recommender systems have become ubiquitous in the past years. They solve the tyranny of choice problem faced by many users, and are utilized by many online businesses to drive enga…