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.

書誌詳細
主要な著者:	Al Rakin, Abdullah, Iqbal Majumder, MD. Akib, Kabir, Mohammad Farhan, Arafin, Rudmila
その他の著者:	Reza, Tanzim
フォーマット:	学位論文
言語:	English
出版事項:	Brac University 2023
主題:	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
オンライン･アクセス:	http://hdl.handle.net/10361/18089

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