Federated Learning

A Federated Learning Approach to Traffic Matrix Estimation using Super-resolution Techniques

[ IEEE CCNC 2023 ] In this work, we propose a super-resolution technique for traffic matrix estimation. We also expand our design by employing a federated learning model to address scalability and improve performance.

Roberto Amoroso, Lorenzo Pappone, Flavio Esposito