Physical Status Representation in Multiple Administrative Optical Networks by Federated Unsupervised Learning-Reference-Cited by-同舟云学术

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Physical Status Representation in Multiple Administrative Optical Networks by Federated Unsupervised Learning

Published:2023-11-01 Issue:11 Volume:E106.B Page:1084-1092
ISSN:0916-8516
Container-title:IEICE Transactions on Communications
language:en
Short-container-title:IEICE Trans. Commun.

Author:

TANIMURA Takahito¹^ORCID,HIRAI Riu¹,KIKUCHI Nobuhiko¹

Affiliation:

1. Hitachi Ltd.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

https://www.jstage.jst.go.jp/article/transcom/E106.B/11/E106.B_2022OBP0004/_pdf

Reference22 articles.

1. [1] T. Tanimura and T. Hoshida, “Deep learning techniques for optical monitoring,” Machine Learning for Future Fiber-Optic Communication Systems, 1st ed., A. Lau and F. Khan, eds., pp.141-188, Elsevier, 2022. 10.1016/b978-0-32-385227-2.00013-9

2. [2] T. Tanimura, T. Hoshida, T. Kato, S. Watanabe, and H. Morikawa, “Data-analytics-based optical performance monitoring technique for optical transport networks,” Proc. Optical Fiber Communications Conference and Exposition (OFC) 2018, Tu3E.3, 2018. 10.1364/ofc.2018.tu3e.3

3. [3] J. Lu, Q. Fan, G. Zhou, L. Lu, C. Yu, A.P.T. Lau, and C. Lu, “Automated training dataset collection system design for machine learning application in optical networks: An example of quality of transmission estimation,” J. Opt. Commun. Netw., vol.13, no.11, pp.289-300, 2021. 10.1364/jocn.431780

4. [4] T. Tanimura, R. Hirai, and N. Kikuchi, “Optical status representation by collaborative and unsupervised learning,” Proc. 27th OptoElectronics and Communications Conference (OECC) 2022, WB3-4, 2022. 10.23919/oecc/psc53152.2022.9850027

5. [5] B. Shariati, P. Safari, A. Mitrovska, N. Hashemi, J.K. Fischer, and R. Freund, “Demonstration of federated learning over edge-computing enabled metro optical networks,” Proc. European Conference on Optical Communications (ECOC), 2020, 2020. 10.1109/ecoc48923.2020.9333246

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