A Secure and Trustworthy Network Architecture for Federated Learning Healthcare Applications

no code implementations • 17 Apr 2024 • Antonio Boiano, Marco Di Gennaro, Luca Barbieri, Michele Carminati, Monica Nicoli, Alessandro Redondi, Stefano Savazzi, Albert Sund Aillet, Diogo Reis Santos, Luigi Serio

This paper provides an overview of the TRUSTroke FL network infrastructure.

Federated Learning Privacy Preserving

Brain MRI Screening Tool with Federated Learning

no code implementations • 23 Nov 2023 • Roman Stoklasa, Ioannis Stathopoulos, Efstratios Karavasilis, Efstathios Efstathopoulos, Marek Dostál, Miloš Keřkovský, Michal Kozubek, Luigi Serio

In clinical practice, we often see significant delays between MRI scans and the diagnosis made by radiologists, even for severe cases.

Federated Learning

A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification

no code implementations • 12 Oct 2023 • Luca Barbieri, Stefano Savazzi, Sanaz Kianoush, Monica Nicoli, Luigi Serio

Federated Learning (FL) methods adopt efficient communication technologies to distribute machine learning tasks across edge devices, reducing the overhead in terms of data storage and computational complexity compared to centralized solutions.

Federated Learning Quantization