HETAL: New Privacy-Preserving Method for Transfer Learning with Homomorphic Encryption

Data privacy is a major concern in today’s world, with many countries enacting laws like the EU’s General Data Protection Regulation (GDPR) to protect personal information. In the field of machine learning, a key issue arises when clients wish to leverage pre-trained models by transferring them to their data. Sharing extracted data features with model […]

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