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.

Бібліографічні деталі
Автори: Al Rakin, Abdullah, Iqbal Majumder, MD. Akib, Kabir, Mohammad Farhan, Arafin, Rudmila
Інші автори: Reza, Tanzim
Формат: Дисертація
Мова:English
Опубліковано: Brac University 2023
Предмети:
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
Онлайн доступ:http://hdl.handle.net/10361/18089

Інтернет

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

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