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Fully homomorphic encryption (FHE) is a privacy-enhancing technology that allows for calculations to be performed on encrypted data without the need for decryption. This allows for sensitive data to be analyzed and used for machine learning and AI algorithms without compromising privacy or risking data breaches. FHE, along with other encryption methods like multi-party computation (MPC) and trusted execution environments (TEE), have numerous use cases in industries such as medicine and data analysis.
