Practical AI podcast: federated learning to bring private data to agentic AI
Practical AI · rss · 2026-11-14
Practical AI hosts Lorenzo Sani (Flower Labs, Cambridge PhD) on federated learning and privacy-preserving AI: collaborative learning for private-data LLM training, model trajectories for improving agentic AI, open-weight benefits, and locally hosted agent applications in healthcare, robotics and automation. Also covers Flower's Endeavor 1.1 model.
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