On Privacy and Personalization in Federated Learning: A Retrospective on the US/UK PETs Challenge
ML @ CMU
MAY 12, 2023
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.
Let's personalize your content