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Google Cloud Certified Professional Machine Learning Engineer · Google Cloud
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Federated learning allows training the model on the user's devices themselves. pen_spark expand_more The model updates its parameters based on local training data on the device without ever needing the raw fingerprint information to leave the device. This ensures the highest level of privacy for sensitive biometric data.
Data Loss Prevention API (DLAPI): This focuses on protecting data at rest and in transit, not relevant to training a model without storing data. MD5 Encryption: This is a one-way hashing function, not suitable for encryption and decryption needed for training.expand_more Differential privacy: While it adds noise to protect privacy, it's not ideal for training image recognition models like fingerprint identification.
B. Federated learning. "information and cannot be downloaded and stored into the bank databases" That excludes DLP. ederated Learning enables mobile phones to collaboratively learn a shared prediction model while keeping all the training data on device, decoupling the ability to do machine learning from the need to store the data in the cloud.