On privacy and personalization in federated learning: a retrospective on the US/UK PETs challenge

TL;DR: We study the use of differential privacy in personalized, cross-silo federated learning (NeurIPS’22), explain how these insights led us to develop a 1st place solution in the US/UK Privacy-Enhancing Technologies (PETs) Prize Challenge, and share challenges and lessons learned along the way. If you are feeling adventurous, checkout the extended version of this post with more technical details! How can we be better prepared for the next pandemic? Patient data collected by groups such as hospitals and health agencies …

articles challenge challenges deep dive differential privacy federated learning insights lessons learned neurips personalization personalized pets privacy prize retrospective solution study technologies