Multi-Party Computation (MPC) is a method that allows multiple parties to perform computations on their private data without revealing that data to each other. Instead of sharing sensitive information directly, each participant contributes to a collective computation using encrypted data. The output is shared among the parties, while individual inputs remain confidential.This approach enhances security and privacy. For instance, in financial transactions or voting systems, MPC ensures that no single party has access to sensitive information, reducing the risk of data breaches or fraud. MPC has practical applications in several areas, including secure auctions, joint investments, and decentralized finance. By allowing users to collaborate without compromising their data, MPC fosters trust among participants and enables more complex cooperative functions while maintaining the privacy of individual inputs.