Multi-party computation (MPC) is a cryptographic technique that allows multiple parties to jointly compute a function over their inputs while keeping those inputs private. This means that each participant can contribute data to the calculation without revealing their individual inputs to others.In practice, MPC enables secure collaboration among parties that do not fully trust each other. For example, multiple organizations can analyze shared data to derive insights without exposing sensitive information. Each party performs computations on their data locally and shares only what is necessary to arrive at the final result.This technique enhances privacy and security in various applications. It is particularly useful in scenarios like secure voting, collaborative data analysis, and decentralized finance, where confidentiality is crucial. By ensuring that no single party has access to all input data, MPC fosters trust among participants while maintaining data integrity and enabling cooperative computations.