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1
Introduction
2
Data Privacy
3
Why Federated Learning
4
Components of Federated Learning
5
Training
6
Heterogeneities
7
Distribution
8
Health Care
9
Health Scale
10
Registration
11
Roadmap
12
Conclusion
Description:
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.

AI Singapore's Journey into the World of Federated Learning

Open Data Science
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