Secure Multi-Party Computation Use Cases

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Secure Multi-Party Computation (SMPC) is a subset of cryptography to create methods for multiple users to jointly compute a function over their inputs while keeping those inputs private. SMPC could be instrumental in helping large-scale, real-time collaboration and anonymous communication between intelligent vehicles on the roads. Healthcare data and patient data can be securely and anonymously gathered from a large pool of users. Machine learning models can use privately-held data, while keeping the data’s integrity intact, to train themselves and capture insights.