Friendly federated learning 🌼 (Practical AI #160)

This episode is a follow up to our recent Fully Connected show discussing federated learning. In that previous discussion, we mentioned Flower (a “friendly” federated learning framework). Well, one of the creators of Flower, Daniel Beutel, agreed to join us on the show to discuss the project (and federated learning more broadly)! The result is a really interesting and motivating discussion of ML, privacy, distributed training, and open source AI.

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Sponsors:

• RudderStack – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative.
• Me, Myself, and AI – A podcast on artificial intelligence and business produced by MIT Sloan Management Review and Boston Consulting Group. Each episode, Sam Ransbotham and Sheervin Khodabandeh talk to AI leaders from organizations like Nasdaq, Spotify, Starbucks, and IKEA. Me, Myself, and AI is available wherever you get your podcasts. Just search Me, Myself, and AI.

Featuring:

• Daniel Beutel – GitHub, X
• Chris Benson – Website, GitHub, LinkedIn, Bluesky, X
• Daniel Whitenack – Website, GitHub, X

Show Notes:

• Our FC episode on federated learning
• Flower
• Flower Blog
• Flower Conference (with videos)

Something missing or broken? PRs welcome!