<ul><li>Federated learning is a safer way to train AI without pooling all the data in one vulnerable spot.</li><li>Researchers can refine AI models locally and send back only learned insights, not raw data.</li><li>Federated learning can help address AI's blind spots and create more inclusive models in healthcare.</li><li>Investing in local expertise, building secure infrastructure, and shaping policies can lead to resilient and ethical AI in healthcare.</li></ul>

Federated Learning: Making Health AI Not Just Powerful but Ethical

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