'Secure Multi-Party Computation Use Cases' by ShaanRay multipartycomputation securemultipartycomputation
work in earlier posts. While there are several emerging Use Cases of Secure Multi-Party Computation, I’m going to focus on three use cases in this post: autonomous vehicles and swarm robotics, healthcare data and analytics, and lastly, securely training machine learning models.
Below are three use cases that would benefit from Secure Multi-Party Computation, i.e., being able to jointly compute a function over their inputs while keeping those inputs private.Healthcare data and patient data can be securely and anonymously gathered from a large pool of users.
Applications that will benefit from taking user data from a vast pool of users securely and privately and then computing it to find insights will benefit from Secure Multi-Party Computation.Secure Multi-Party Computation is an essential form of cryptographic computation and will be increasingly crucial in decentralized applications. Besides allowing anonymous collaboration, MPC will enable real data privacy and security.
, will open up a whole new range of possible use cases and allow people to anonymously and securely collaborate.
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