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.

מידע ביבליוגרפי
Main Authors: Al Rakin, Abdullah, Iqbal Majumder, MD. Akib, Kabir, Mohammad Farhan, Arafin, Rudmila
מחברים אחרים: Reza, Tanzim
פורמט: Thesis
שפה:English
יצא לאור: Brac University 2023
נושאים:
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
גישה מקוונת:http://hdl.handle.net/10361/18089

אינטרנט

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

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