3 citations · 3 across the 2 of their papers we have counts for
4 papers
Analyzing α-divergence in Gaussian Rate-Distortion-Perception Theory
Martha V. Sourla, Giuseppe Serra, Photios A. Stavrou +1
The problem of estimating the information rate distortion perception function (RDPF), which is a relevant information-theoretic quantity in goal-oriented lossy compression and sema…
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…
On the Rate-Distortion-Perception Function for Gaussian Processes
Giuseppe Serra, Photios A. Stavrou, Marios Kountouris
In this paper, we investigate the rate-distortion-perception function (RDPF) of a source modeled by a Gaussian Process (GP) on a measure space under mean squared error (MSE) di…
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…