Distributed raman spectrum data augmentation system using federated learning with deep generative models

HIGHLIGHTS

• who: Yaeran Kim and Woonghee Lee from the Division of Computer Engineering, Hansung University, Seoul, Republic of Korea have published the article: Distributed Raman Spectrum Data Augmentation System Using Federated Learning with Deep Generative Models, in the Journal: Sensors 2022, 22, 9900. of /2022/
• what: To overcome the limitations in this paper the authors propose the distributed system that leverages federated learning (FL) with deep generative models such as generative adversarial network (GAN) and autoencoder.
• how: The authors implemented the proposed system and conducted diverse experiments to evaluate the system. Weng et_al proposed . . .
  

   

  

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