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Federated learning in production (part 1) episode artwork

May 30, 2025 44 min

Federated learning in production (part 1)

from Practical AI Hosted by Daniel Whitenack and Chris Benson

In this first of a two part series of episodes on federated learning, we dive into the evolving world of federated learning and distributed AI frameworks with Patrick Foley from Intel. We explore how frameworks like OpenFL and Flower are enabling secure, collaborative model training across silos, especially in sensitive fields like healthcare. The conversation touches on real-world use cases, the challenges of distributed ML/AI experiments, and why privacy-preserving techniques may become essential for deploying AI to production. Featuring: Patrick Foley – LinkedIn Chris Benson – Website, GitHub, LinkedIn, X Daniel Whitenack – Website, GitHub, X Links: Intel OpenFL Sponsors: NordLayer is a toggle-ready network security platform built for modern businesses. It combines VPN, access control, and threat protection in one easy-to-use platform. No hardware. No complex setup. Just secure connection and full control—in less than 10 minutes.

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Federated learning in production (part 1)

0:00 44:38

Chapters

  1. 0:00 Welcome to Practical AI
  2. 3:35 Training Process
  3. 7:41 Variability
  4. 9:30 Example use cases
  5. 13:32 Sponsor: Nordlayer
  6. 15:23 Types of models
  7. 20:26 Open FL
  8. 29:17 Agentic use cases
  9. 34:10 Privacy concerns
  10. 38:42 Drivers
  11. 41:56 What's exciting
  12. 43:17 Outro

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This episode was published on May 30, 2025.

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