Understanding Federated Learning: A Short Conversation on Privacy‑Preserving Med AI Collaboration⚕️

In this episode of The Med AI Capsule, we break down federated learning through a simple, conversational walkthrough of how hospitals can collaboratively train AI models without ever sharing patient data. The discussion covers why this matters for privacy, how the workflow actually operates in practice, the safeguards needed to prevent information leakage, and the real-world limitations that still require clinical oversight. It’s a clear, practical primer on the idea of collaboration without data sharing—and why that matters for building trustworthy medical AI.Note: This audio podcast is an extension of The Med AI Capsule newsletter by Dr Avneesh Khare. You can explore more at www.avneeshkhare.com.Disclaimer: This audio podcast was generated using AI tools and is based on content from the related newsletter issue. While all the information is curated from reliable sources, it is only intended for educational and informational purposes. AI LLMs can make mistakes - please check all the important information at your end. For any issues, please reach out at [email protected]. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit avneeshkhare.substack.com