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.

Bibliografske podrobnosti
Main Authors:	Al Rakin, Abdullah, Iqbal Majumder, MD. Akib, Kabir, Mohammad Farhan, Arafin, Rudmila
Drugi avtorji:	Reza, Tanzim
Format:	Thesis
Jezik:	English
Izdano:	Brac University 2023
Teme:	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 dostop:	http://hdl.handle.net/10361/18089

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