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Answer Posted / Madhu Sudan Sharma
Federated Learning enhances data privacy by allowing machine learning models to be trained on decentralized data. Instead of collecting and centralizing data, models are updated locally on each device, and only model updates (not the raw data) are shared with a central server. This approach reduces the need for sensitive data to be transmitted over networks, thus minimizing potential privacy risks.
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