Building a Cloud-Native Privacy Computing Platform in Financial Industry

Explore the development of a cloud-native privacy computing platform in the financial industry through this conference talk. Learn how Shanghai Pudong Development Bank (SPDB) built "Poseidon," a platform based on the Linux Foundation's FATE project, to address strict data privacy, security, and localization regulations. Discover how the cloud-native framework enhances management, deployment, and scalability of federated learning systems while balancing data security and algorithm performance. Gain insights into SPDB's journey in creating a cloud-native federated learning platform, including the process of adapting FATE to Kubernetes, best practices for cloud-native networking and storage, cloud-native security measures for privacy computing, and innovative data-topology-oriented pod scheduling techniques. Understand how this platform serves as a crucial node for industry-wide data collaboration and its applications in telecom anti-fraud, credit risk assessment, and credit card marketing.

Building a Cloud-Native Privacy Computing Platform in Financial Industry - Yiyang Jin & Lecheng Gong