This post is the first in a series on privacy-preserving federated learning. The series is a collaboration between CDEI and NIST. Advances in machine learning and AI, fueled by large-scale data availability and high-performance computing, have had a significant impact across the world in the past two decades. Machine learning techniques shape what information we see online, influence critical business decisions, and aid scientific discovery, which is driving advances in healthcare, climate modelling, and more. Training Models: Conventional vs Federated Learning The standard way to train