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cs.LG2026
DP-IVON-Gradsq: Differentially Private Squared-Gradient Improved Variational Online Newton
Nour Jamoussi, Ikram Dridi, Giuseppe Serra +1
Differential privacy provides formal privacy guarantees for training neural networks on sensitive data, while Bayesian deep learning offers a principled framework for uncertainty-a…
cs.LG2026
Cost-Free Personalization via Information-Geometric Projection in Bayesian Federated Learning
Nour Jamoussi, Giuseppe Serra, Photios A. Stavrou +1
Bayesian Federated Learning (BFL) combines uncertainty modeling with decentralized training, enabling the development of personalized and reliable models under data heterogeneity a…
cs.LG2025
Information-Geometric Barycenters for Bayesian Federated Learning
Nour Jamoussi, Giuseppe Serra, Photios A. Stavrou +1
Federated learning (FL) is a widely used and impactful distributed optimization framework that achieves consensus through averaging locally trained models. While effective, this ap…