The concept of Secure Multi-Party Computation (SMPC) is a cryptographic service that allows generating analysis of sensitive data related to finance under the collaboration of all stakeholders without violating the privacy of the research participants. This article shows the increasing significance of privacy protection in the contemporary financial services, where various stakeholders should comply with stringent security and regulatory standards. It discusses the main issues of scalability, computational efficiency, and working with very large datasets, and it identifies the directions of future research to make SMPC protocols more practical and efficient. The results highlight the possibility of SMPC to facilitate safe, transparent, and trustful financial transactions in an ecosystem that is becoming more digital.

翻译：安全多方计算（SMPC）是一种密码学服务，它允许所有利益相关方在不违反研究参与者隐私的前提下，协作生成对金融相关敏感数据的分析。本文阐述了隐私保护在当代金融服务中日益增长的重要性，其中各利益相关方必须遵守严格的安全与监管标准。文章讨论了可扩展性、计算效率以及处理超大规模数据集等主要问题，并指出了未来研究的方向，以使SMPC协议更具实用性和高效性。研究结果凸显了SMPC在日益数字化的生态系统中，促进安全、透明和可信金融交易的可能性。