257 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Denso (United States)US3 papers
- Technical University of MunichDE3 papers
- Chalmers University of TechnologySE2 papers
- AIT Austrian Institute of Technology GmbHAT1 paper
- Fraunhofer Institute for Cognitive SystemsDE1 paper
- Humboldt-Universität zu BerlinDE1 paper
- IMT School for Advanced Studies LuccaIT1 paper
- LMU KlinikumDE1 paper
- Ludwig-Maximilians-Universität MünchenDE1 paper
- Universität UlmDE1 paper
- University of GothenburgSE1 paper
3 papers · 2 filters
A Federated Learning Benchmark on Tabular Data: Comparing Tree-Based Models and Neural Networks
William Lindskog, Christian Prehofer
Federated Learning (FL) has lately gained traction as it addresses how machine learning models train on distributed datasets. FL was designed for parametric models, namely Deep Neu…
Histogram-Based Federated XGBoost using Minimal Variance Sampling for Federated Tabular Data
William Lindskog, Christian Prehofer, Sarandeep Singh
Federated Learning (FL) has gained considerable traction, yet, for tabular data, FL has received less attention. Most FL research has focused on Neural Networks while Tree-Based Mo…
Federated Learning for Tabular Data using TabNet: A Vehicular Use-Case
William Lindskog, Christian Prehofer
In this paper, we show how Federated Learning (FL) can be applied to vehicular use-cases in which we seek to classify obstacles, irregularities and pavement types on roads. Our pro…