A GAN-based federated learning architecture for data augmentation of medical images

A GAN-based federated learning architecture for data augmentation of medical images

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Bibliografische gegevens
Hoofdauteurs: Al Rakin, Abdullah, Iqbal Majumder, MD. Akib, Kabir, Mohammad Farhan, Arafin, Rudmila
Andere auteurs: Reza, Tanzim
Formaat: Thesis
Taal:English
Gepubliceerd in: Brac University 2023
Onderwerpen:
GAN
Generator
Discriminator
Federated Learning
OCT
Deep Convolutional Generative Adversarial Network (DCGAN)
Wasserstein GAN (WGAN)
Distributed GAN
Mode Collapse
Non-iid Data.
Natural language processing (Computer science)
Machine learning
Online toegang:http://hdl.handle.net/10361/18089

Internet

http://hdl.handle.net/10361/18089

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