Secure Multi-Party Computation (SMPC) is a cryptographic technique that allows multiple parties to collaboratively compute a function using their private inputs while maintaining input confidentiality. It uses methods like secret sharing, homomorphic encryption, and zero-knowledge proofs to ensure security and privacy, making it valuable in fields such as finance, medical research, and AI. With origins dating back to the 1970s and formalized by Andrew Yao in 1982, SMPC has evolved to become more efficient and practical for real-world applications. It offers significant benefits like enhanced security, data privacy, regulatory compliance, and the ability to foster collaboration without compromising individual privacy. SMPC is also pivotal for Web3 applications, where it helps secure digital assets through mechanisms like MPC-based wallets and privacy-preserving computation, as opposed to traditional multisig wallets.