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.

Opis bibliograficzny
Główni autorzy: Al Rakin, Abdullah, Iqbal Majumder, MD. Akib, Kabir, Mohammad Farhan, Arafin, Rudmila
Kolejni autorzy: Reza, Tanzim
Format: Praca dyplomowa
Język:English
Wydane: Brac University 2023
Hasła przedmiotowe:
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
Dostęp online:http://hdl.handle.net/10361/18089

Internet

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

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