Artificial intelligence is transforming every sector, but its hunger for data raises a fundamental question: how can we unlock the full potential of deep learning while safeguarding sensitive information? Traditional approaches such as homomorphic encryption and secure multiparty computation have laid the groundwork for privacy-preserving AI, yet they remain constrained by heavy computational costs…

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