Title
Self-Learning Approaches for Real Optical Networks
Abstract
Self-learning approaches to facilitate the deployment of ML algorithms in real networks are analyzed and their performance evaluated through an illustrative use case. Results show large benefits of collective self-learning with centralized retraining.
Year
DOI
Venue
2019
10.1364/ofc.2019.m2a.4
2019 Optical Fiber Communications Conference and Exhibition (OFC)
DocType
ISBN
Citations 
Conference
978-1-943580-53-8
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Marc Ruiz19324.96
Fabien Boitier243.51
Patricia Layec3279.81
Luis Velasco4538.56