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.

Dettagli Bibliografici
Autori principali:	Al Rakin, Abdullah, Iqbal Majumder, MD. Akib, Kabir, Mohammad Farhan, Arafin, Rudmila
Altri autori:	Reza, Tanzim
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2023
Soggetti:	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
Accesso online:	http://hdl.handle.net/10361/18089

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