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stat.ML2026
Federated Ensemble Learning with Progressive Model Personalization
Ala Emrani, Amir Najafi, Abolfazl Motahari
Federated Learning provides a privacy-preserving paradigm for distributed learning, but suffers from statistical heterogeneity across clients. Personalized Federated Learning (PFL)…
stat.ML2025
Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts
Amir Najafi, Samin Mahdizadeh Sani, Farzan Farnia
We address the challenge of certifying the performance of a federated learning model on an unseen target network using only measurements from the source network that trained the mo…