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.

Bibliographische Detailangaben
Hauptverfasser:	Al Rakin, Abdullah, Iqbal Majumder, MD. Akib, Kabir, Mohammad Farhan, Arafin, Rudmila
Weitere Verfasser:	Reza, Tanzim
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2023
Schlagworte:	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 Zugang:	http://hdl.handle.net/10361/18089

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

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