Definition ∞ Encrypted machine learning is the practice of training or executing machine learning models using data that remains encrypted throughout the process. This advanced cryptographic technique safeguards sensitive information, allowing artificial intelligence computations to proceed without exposing raw data. It is vital for privacy-preserving analytics and confidential data processing. This method maintains data secrecy during computation.
Context ∞ The application of encrypted machine learning in blockchain and digital assets is critical for areas like fraud detection, compliance, and personalized financial services. Data privacy is paramount in these applications. This technology helps decentralized applications utilize private data for intelligence without compromising user confidentiality or regulatory requirements.
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