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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Al Rakin, Abdullah, Iqbal Majumder, MD. Akib, Kabir, Mohammad Farhan, Arafin, Rudmila
Άλλοι συγγραφείς: Reza, Tanzim
Μορφή: Thesis
Γλώσσα:English
Έκδοση: Brac University 2023
Θέματα:
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
Διαθέσιμο Online:http://hdl.handle.net/10361/18089

Διαδίκτυο

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

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