A healthcare tech startup is working on a wearable device that can predict potential health anomalies in users. They want to use AI to analyze the data but are concerned about patient privacy. What could be a cloud-based solution for this?
- Federated Learning
- Limiting data collection
- Storing all data centrally
- Using a public AI service
Federated Learning is a privacy-preserving technique where AI models are trained across multiple decentralized devices (wearables, in this case) without moving raw data to a central location. It ensures patient privacy while using AI for analysis.
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