Protecting Trained Models in Privacy-Preserving Federated Learning

This post is part of a series on privacy-preserving federated learning. The series is a collaboration between NIST and the UK government’s Responsible Technology Adoption Unit (RTA), previously known as the Centre for Data Ethics and Innovation. Learn more and read all the posts published to date at NIST’s Privacy Engineering Collaboration Space or RTA’s blog . The last two posts in our series covered techniques for input privacy in privacy-preserving federated learning in the context of horizontally and vertically partitioned data. To build a complete privacy-preserving federated learning