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[P] Training ML Models on Encrypted Data with Fully Homomorphic Encryption (FHE)
Jan. 25, 2024, 10:02 a.m. | /u/strojax
Machine Learning www.reddit.com
We have successfully trained a machine learning model on encrypted data using FHE, ensuring the highest level of privacy throughout the training process.
This is a crucial step towards unlocking use cases like secure collaborative training and model fine-tuning in fields such as healthcare and finance, where data privacy is paramount.
To give you an idea about the performance you can expect, we can train a model with 10 features and 10,000 rows in about an hour. More …
cases collaborative data encrypted data encryption fields finance fine-tuning healthcare hey homomorphic encryption machine machine learning machinelearning machine learning model ml models model fine-tuning privacy process training use cases
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