The explosion of the AI sector has rapidly reshaped the perception of data value, bringing with it growing concerns about data privacy. The urgent challenge now lies in unlocking data utility while preserving user privacy. To tackle this, developers are exploring a range of Privacy-Enhancing Technologies (PETs), such as MPC, TEE, and FHE. However, each has its limitations: TEE relies heavily on centralised hardware vendors, MPC has execution inefficiencies, and FHE is still maturing in terms of performance
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