7 citations · 21 across the 5 of their papers we have counts for
3 papers · 1 filter
FedSPC: Shared Parameter Correction for Personalized Federated Learning
Kannanthodath Induchoodan Ajay Menon, Christian Prehofer, Yunfei Xu +1
Personalized federated learning (PFL) is one of the important approaches in federated learning for addressing statistical heterogeneity while enabling client-specific adaptation. M…
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…