1 citations · 2 across the 4 of their papers we have counts for
4 papers
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…
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…
XAI-guided Insulator Anomaly Detection for Imbalanced Datasets
Maximilian Andreas Hoefler, Karsten Mueller, Wojciech Samek
Power grids serve as a vital component in numerous industries, seamlessly delivering electrical energy to industrial processes and technologies, making their safe and reliable oper…
Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning
Daniel Becking, Heiner Kirchhoffer, Gerhard Tech +4
Federated learning (FL) scenarios inherently generate a large communication overhead by frequently transmitting neural network updates between clients and server. To minimize the c…