Definition ∞ Private computation is a field of study focused on enabling computations to be performed on data without exposing the data itself. This is achieved through various cryptographic techniques that allow computations to be executed while maintaining the confidentiality of the inputs and intermediate results. It is essential for scenarios requiring data analysis where privacy is a primary concern.
Context ∞ The integration of private computation techniques into blockchain and AI systems is a significant area of development, aiming to balance transparency with data confidentiality. Discussions often highlight the challenges in achieving practical scalability and efficiency for these methods, their application in areas like secure data marketplaces and privacy-preserving machine learning, and the potential for them to unlock new use cases for sensitive information.
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