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.

Detaylı Bibliyografya
Asıl Yazarlar: Al Rakin, Abdullah, Iqbal Majumder, MD. Akib, Kabir, Mohammad Farhan, Arafin, Rudmila
Diğer Yazarlar: Reza, Tanzim
Materyal Türü: Tez
Dil:English
Baskı/Yayın Bilgisi: Brac University 2023
Konular:
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 Erişim:http://hdl.handle.net/10361/18089

Internet

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

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