What are the benefits of federated learning?
An example of an AI chatbot conversation about federated learning benefits.
What are the benefits of federated learning?
Federated learning allows for decentralized model training, enhancing privacy and reducing data transfer costs.
How does it improve data privacy?
It keeps data on local devices, only sharing model updates, which minimizes exposure of sensitive information.
Can it be used in healthcare?
Absolutely! It enables collaboration across institutions without sharing patient data, improving model accuracy.
What are some challenges of implementing it?
Challenges include ensuring data quality, managing heterogeneous data, and dealing with communication costs.
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