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. Each party contributes their data, and the computation is performed in such a way that no party learns anything about the other parties' inputs, except for the final result. MPC is useful in various applications, such as secure voting, privacy-preserving data analysis, and collaborative machine learning. By ensuring that sensitive information remains confidential, MPC enables organizations to work together without compromising their data security or privacy.