Rafael Pinot

Robust Federated Inference

Equalized Generative Treatment: Matching $f$-divergences for Fairness in Generative Models

Tackling Byzantine Clients in Federated Learning

Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients

Revisiting Ensembling in One-Shot Federated Learning

Stress Testing Byzantine Robustness in Distributed Learning

On the Effectiveness of One-Shot Federated Ensembles in Heterogeneous Cross-Silo Settings