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Federated learning trains AI models across decentralized devices while keeping data ________.
- Centralized
- Encrypted
- Local
- Anonymized
Answer: Local
Federated learning: model updates (not raw data) are shared from edge devices to central server. Preserves privacy, reduces bandwidth; used in healthcare (hospital data), mobile keyboards, IoT. Key for GDPR/DPDP-compliant AI. [[MeitY Reports]]