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math.ST2026
Handling Covariate Mismatch in Collaborative Linear Prediction
Alexis Ayme, Rémi Khellaf
Training predictive models across multiple centers typically assumes that all centers collect the same set of covariates. In practice, however, they may record different features o…
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…