What are the benefits of federated learning?
An example of an AI chatbot conversation about the advantages of federated learning in AI.
What are the benefits of federated learning?
Federated learning allows for decentralized model training, enhancing privacy and reducing data transfer.
How does it improve data privacy?
It keeps data on local devices, only sharing model updates, which minimizes exposure of sensitive information.
Are there any challenges with federated learning?
Yes, challenges include handling non-IID data, communication costs, and ensuring model convergence.
Can you give examples of its applications?
Sure! It's used in healthcare for patient data analysis and in mobile devices for personalized recommendations.
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