3 papers
cs.LG2025
Federated Automated Feature Engineering
Tom Overman, Diego Klabjan
Automated feature engineering (AutoFE) is used to automatically create new features from original features to improve predictive performance without needing significant human inter…
cs.LG2025
Continuous-Time Analysis of Federated Averaging
Tom Overman, Diego Klabjan
Federated averaging (FedAvg) is a popular algorithm for horizontal federated learning (FL), where samples are gathered across different clients and are not shared with each other o…
cs.LG2024
IIFE: Interaction Information Based Automated Feature Engineering
Tom Overman, Diego Klabjan, Jean Utke
Automated feature engineering (AutoFE) is the process of automatically building and selecting new features that help improve downstream predictive performance. While traditional fe…