Secure and Private Deep Learning with PySyft – Democast #4

In this Democast, we focus on PySyft, their Python library for private machine learning. Andrew breaks down some of the core features of PySyft, including:

• The basics and flow of ML in PySyft
• Remote execution
• The role of encryption, specifically “Secure, Multi-Party Computation,” and
• Homomorphic Encryption
• Federated Learning
• A look at the OpenMined Roadmap, and what’s next for the project.

Learn more about this Democast at https://twimlai.com/secure-and-private-deep-learning-with-pysyft-democast-4

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