Privacy-Preserving Federated Learning – Future Collaboration and Continued Research

This final blog post in a US–UK series on Privacy-Preserving Federated Learning (PPFL) and Privacy Enhancing Technologies (PETs) summarizes previous posts and reflections, outlines NIST’s PETs Testbed work (including a genomics model problem and privacy metrology), highlights upcoming UK–US collaborations to apply PETs to rare pediatric cancer research, and invites continued research, coordination, and feedback via provided contact emails.