Secure Multi-Party Computation (SMPC) is a cryptographic method 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. This technique is useful in various applications, such as secure voting, privacy-preserving data analysis, and collaborative machine learning. By ensuring that sensitive information remains confidential, SMPC enables cooperation among parties without compromising their privacy or security.