most citedEffect of Homomorphic Encryption on the Performance of Training Federated Learning Generative Adversarial Networks

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CR2022★ 2 cited

Effect of Homomorphic Encryption on the Performance of Training Federated Learning Generative Adversarial Networks

Ignjat Pejic, Rui Wang, Kaitai Liang

A Generative Adversarial Network (GAN) is a deep-learning generative model in the field of Machine Learning (ML) that involves training two Neural Networks (NN) using a sizable dat…