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
Related Posts
By Brett Raybould, EMEA Solutions Architect, Menlo Security According to…
- rooter
- November 16, 2023
- 1 min read
- 0
By Joe Guerra, M.Ed, CASP+, Professor of Cybersecurity, Hallmark University…
- rooter
- June 10, 2024
- 1 min read
- 0
Jack Viljoen, Head of Prodinity Cyber Solutions, provides a cyber…
- rooter
- December 6, 2023
- 1 min read
- 0