Instruction: Describe the integration of Federated Learning in IoT ecosystems, including potential benefits and challenges.
Context: This question evaluates the candidate’s understanding of the potential for Federated Learning to revolutionize IoT by enabling decentralized, privacy-preserving machine learning across various devices.
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The way I'd approach it in an interview is this: In IoT, federated learning is useful when many devices generate local data continuously but centralizing all of it would be too expensive, too private, or too slow. Examples include smart home devices, industrial sensors,...