most citedFederated Causal Inference from Multi-Site Observational Data via Propensity Score Aggregation

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stat.ML2026

Principled Federated Random Forests for Heterogeneous Data

Rémi Khellaf, Erwan Scornet, Aurélien Bellet +1

Random Forests (RF) are among the most powerful and widely used predictive models for centralized tabular data, yet few methods exist to adapt them to the federated learning settin…

stat.ML2025

Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis

Rémi Khellaf, Aurélien Bellet, Julie Josse

We study Federated Causal Inference, an approach to estimate treatment effects from decentralized data across centers. We compare three classes of Average Treatment Effect (ATE) es…