Federated learning is a machine learning technique that allows multiple parties to train a model without sharing their data. It is being used across several industries, from mobile device keyboards to health care to autonomous vehicles to oil rigs. It is particularly useful in situations where data sharing is limited by regulation, or is sensitive or proprietary, […]
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