Source Code & Datasets for "Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data"

pca kernel-pca federated-learning feature-wise advanced-kernel-pca

• Updated May 20, 2022
• Python

FAI (Feature-Wise Adaptive Imputation) is a machine learning framework that automatically selects the best imputation method per feature based on statistical properties — optimizing for downstream predictive performance, not just imputation error.

python data-science machine-learning research random-forest scikit-learn imputation missing-data data-preprocessing mice mar missing-values adult-dataset mcar missforest academic-research mnar feature-wise knn-imputation adaptive-imputation

• Updated Jun 16, 2026
• Jupyter Notebook