Abstract: At present, banks, insurance companies and other financial institutions have fully excavated their own data. Facing the homogeneous competition, the innovation of traditional financial services needs to be transformed to support online scenarios by exploring and integrating both internal and external data. While the demand for data fusion usage is booming, in recent years, external data collaboration has been frequently exposed to the problems of improper data uses, violation of customer privacy, and its doubtfulness business compliance. In this paper, we sort out the data compliance issues existed in the current laws and regulations, and analyze the compliance of privacy preserving computing according to its technical principles and applications in the financial services.

Key words: privacy preserving computing, compliance, personal data, federated learning