AI Singapore's Journey into the World of Federated Learning
Offered By: Open Data Science via YouTube
Course Description
Overview
Explore AI Singapore's journey into federated learning in this 32-minute talk. Discover how federated learning addresses data privacy concerns and regulatory compliance while enabling cross-organizational machine learning. Learn about Synergos, AI Singapore's system for federated learning, and its key components. Gain insights into the challenges of data sharing, the benefits of decentralized training, and the potential applications in healthcare and other industries. Understand the roadmap for federated learning implementation and its impact on the future of privacy-preserving AI.
Syllabus
Introduction
Data Privacy
Why Federated Learning
Components of Federated Learning
Training
Heterogeneities
Distribution
Health Care
Health Scale
Registration
Roadmap
Conclusion
Taught by
Open Data Science
Related Courses
Introduction to Data Analytics for BusinessUniversity of Colorado Boulder via Coursera Digital and the Everyday: from codes to cloud
NPTEL via Swayam Systems and Application Security
(ISC)² via Coursera Protecting Health Data in the Modern Age: Getting to Grips with the GDPR
University of Groningen via FutureLearn Teaching Impacts of Technology: Data Collection, Use, and Privacy
University of California, San Diego via Coursera