FeGAN
Scaling distributed Generative Adversarial Networks (GANs)
The FeGAN system enables training GANs in the Federated Learning setup. GANs are generative adversarial networks, a class of machine learning where two neural networks contest with each other. FeGAN is implemented on PyTorch and is using less bandwidth and is faster than using stat-of-the-art GANs implementations.
inactive
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entered showcase: 2020-11-11
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entry updated: 2024-03-22
Prototype
Application
Python
MIT