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Which technique enables machine learning on decentralized data without sharing raw datasets?
- Centralized Training
- Federated Learning
- Data Warehousing
- ETL
Answer: Federated Learning
Federated Learning trains models across devices/servers holding local data, sharing only model updates. Preserves privacy while enabling collaborative AI. Used in healthcare, finance, and mobile keyboards. Critical for privacy-preserving AI questions.