What role does federated learning play in improving IoT security while preserving data privacy?
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What role does federated learning play in improving IoT security while preserving data privacy?
Federated learning plays a key role in enhancing IoT security by allowing machine learning models to be trained across multiple decentralized edge devices without transferring sensitive data to a central server. This helps preserve data privacy as the data remains on the devices and only model updates are shared.