You are an ML engineer at a bank that has a mobile application. Management has asked you to build an ML-based biometric authentication for the app that verifies a customer’s identity based on their fingerprint. Fingerprints are considered highly sensitive personal information and cannot be downloaded and stored into the bank databases.
Which learning strategy should you recommend to train and deploy this ML model?
A . Differential privacy
B . Federated learning
C . MD5 to encrypt data
D . Data Loss Prevention API
Answer: B
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