Federated Learning for Tabular Data using TabNet: A Vehicular Use-Case. - William Lindskog; Christian Prehofer (ICCP, 2022)

Predictive Energy Management for Battery Electric Vehicles with Hybrid Models. - Yu-Wen Huang; Christian Prehofer; William Lindskog; Ron Puts; Pietro Mosca; Göran Kauermann (INTSYS, 2022)

A Federated Learning Benchmark on Tabular Data: Comparing Tree-Based Models and Neural Networks. - William Lindskog; Christian Prehofer (FMEC, 2023)

Histogram-Based Federated XGBoost using Minimal Variance Sampling for Federated Tabular Data. - William Lindskog; Christian Prehofer; Sarandeep Singh (FMEC, 2023)

Federated Learning for Drowsiness Detection in Connected Vehicles. - William Lindskog; Valentin Spannagl; Christian Prehofer (INTSYS, 2023)

Federated Learning for Lane-Change Prediction. - Lilit Yenokyan; William Lindskog-Muenzing; Christian Prehofer; Matthias Schubert (INTSYS, 2024)