Stories by williamtrask

A generic framework for privacy preserving deep learning

PyTorch Funds Grants for Remote, Open Source Work on AI and Privacy (Apply Now)

PySyft-Tensorflow

Asynchronous Federated Learning with PySyft and PyTorch

Encrypted Training with PyTorch and PySyft on MNIST

Apply Now: Paid Open Source Privacy + AI Work (Raais & OpenMined)

New (Free) Udacity Course – Secure and Private Artificial Intelligence

Tutorial: PyTorch Federated Learning on Raspberry Pi

Introducing Udacity's Secure and Private AI Course (Free)

Show HN: Encrypted Deep Learning Classification with PyTorch and PySyft

United Nations Publishes Handbook on Privacy Preserving Computations

Show HN: I wrote a book about Grokking Deep Learning

Deep Learning to Federated Learning in 10 Lines of PyTorch and PySyft

Grokking Deep Learning – Learn By Building Neural Networks From Scratch

OpenMined – A Community for Privacy Preserving Deep Learning

Grokking Deep Learning – All Code Now on GitHub

Jupyter Notebook Tutorial – Privacy-Preserving Deep Learning in PyTorch

Beginner Tutorial: Privacy Preserving, Decentralized Deep Learning in PyTorch

Paper: A Generic Framework for Privacy Preserving Deep Learning (NIPS 2018)

“Grokking Deep Learning” – All Code Examples Now on GitHub

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