3 papers
cs.LG2026
Power Transform Revisited: Numerically Stable, and Federated
Xuefeng Xu, Graham Cormode
Power transforms are popular parametric methods for making data more Gaussian-like, and are widely used as preprocessing steps in statistical analysis and machine learning. However…
cs.LG2026
FedPS: Federated data Preprocessing via aggregated Statistics
Xuefeng Xu, Graham Cormode
Federated Learning (FL) enables multiple parties to collaboratively train machine learning models without sharing raw data. However, before training, data must be preprocessed to a…
cs.LG2025
Federated Computation of ROC and PR Curves
Xuefeng Xu, Graham Cormode
Receiver Operating Characteristic (ROC) and Precision-Recall (PR) curves are fundamental tools for evaluating machine learning classifiers, offering detailed insights into the trad…