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.
Estimation of Traffic Matrices via Super-resolution and Federated Learning
[ CoNEXT 2020 | Best Poster Award ]
Inspired by the field of image processing, we propose a super-resolution technique for Internet traffic matrix inference.
Maria Luisa Merani