Super-resolution

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
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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.
Roberto Amoroso, Flavio Esposito, Maria Luisa Merani
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Estimation of Traffic Matrices via Super-resolution and Federated Learning