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Friendly federated learning 🌼

Practical AI

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Unlocking Federated Learning

This chapter explores federated learning, a decentralized method for training machine learning models across multiple sources without exposing sensitive data. Through practical examples, including hospitals and manufacturing, the speakers highlight the advantages and challenges of this innovative approach, particularly regarding data privacy and operational regulations.

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