Distributed Raman Spectrum Data Augmentation System Using Federated Learning with Deep Generative Models

Distributed Raman Spectrum Data Augmentation System Using Federated Learning with Deep Generative Models

Chemical agents are one of the major threats to soldiers in modern warfare, so it is so important to detect chemical agents rapidly and accurately on battlefields. Raman spectroscopy-based detectors are widely used but have many limitations. The Raman spectrum changes unpredictably due to various en...

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Bibliographic Details
Main Authors: Yaeran Kim, Woonghee Lee
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
Raman spectrum
data augmentation
distributed system
federated learning
deep generative model
Online Access:https://www.mdpi.com/1424-8220/22/24/9900

Internet

https://www.mdpi.com/1424-8220/22/24/9900

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