Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Evol-TL: Evolutionary Transfer Learning for QoT Estimation in Multi-Domain Networks

Not Accessible

Your library or personal account may give you access

Abstract

We propose an evolutionary transfer learning approach for QoT estimation in multi-domain optical networks. The results demonstrate that our approach can reduce the amounts of required training data by 10× while achieving accuracies of > 90%.

© 2020 The Author(s)

PDF Article
More Like This
Sample Distribution Matching Based Transfer Learning for QoT Estimation in Optical Networks

Tangze Qin, Zhiqun Gu, Jiawei Zhang, Yuhang Zhou, and Yuefeng Ji
T1C.4 Asia Communications and Photonics Conference (ACPC) 2021

Collaborative Learning in Multi-Domain Optical Networks

Xiaoliang Chen, Roberto Proietti, Che-Yu Liu, and S. J. Ben Yoo
T3C.2 Asia Communications and Photonics Conference (ACPC) 2020

Active vs Transfer Learning Approaches for QoT Estimation with Small Training Datasets

Dario Azzimonti, Cristina Rottondi, Alessandro Giusti, Massimo Tornatore, and Andrea Bianco
M4E.1 Optical Fiber Communication Conference (OFC) 2020

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2022 | Optica Publishing Group. All Rights Reserved