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.

Bibliographic Details
Main Authors: Al Rakin, Abdullah, Iqbal Majumder, MD. Akib, Kabir, Mohammad Farhan, Arafin, Rudmila
Other Authors: Reza, Tanzim
Format: Thesis
Language:English
Published: Brac University 2023
Subjects:
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 Access:http://hdl.handle.net/10361/18089

Internet

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

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