SecretFlow Meetup Chengdu – Privacy Computing Innovation and Application Practice

The SecretFlow open‑source community, together with Chengdu Smart City Research Institute, is launching the "SecretFlow Meetup Chengdu × Rongshu Big Lecture Hall" focusing on "Privacy Computing Technology Innovation and Application Practice". The event aims to provide a thought‑leading feast that balances technical depth with industry insights.

Three Highlights:

Powerful lineup: top experts and scholars from Ant Group, University of Electronic Science and Technology of China, Chengdu Gezhi Digital Finance Research Institute, Unicom Digital Science – Yunjin Smart Technology Co., Ltd., and others will share cutting‑edge technologies and industry perspectives.

Full‑stack analysis: sessions will cover privacy‑computing principles, algorithmic foundations, and concrete financial/governmental scenario deployments, offering step‑by‑step guidance on technology implementation.

Hands‑on workshop: a "show me the code & case" session will dissect the SecretFlow framework, enabling participants to acquire practical privacy‑computing skills and witness secure data value release.

Event Details:

Theme: SecretFlow Open‑Source Community Meetup Chengdu – Privacy Computing Technology Innovation and Application Practice

Date & Time: May 10, 2025 (Saturday), 13:30‑17:00

Venue: Tianfu International Financial Center, Building 9, Smart Chengdu Research Institute, High‑Tech Zone, Chengdu

Target Audience: technologists, industry and academic experts, developers, and enterprise technical staff interested in data elements, AI, and privacy computing.

Session 1 – "The ‘Invisible Accelerator’ of Privacy Computing – SPU Technology Evolution and Practical Breakthroughs"

Speaker: Zhou Jinjian (Ant Group, SPU maintainer)

Speaker Bio: Ant Confidential Computing expert, co‑maintainer of the SPU open‑source project, responsible for MPC protocol and operator development, with extensive experience in federated learning and financial MPC projects.

Outline: Introduction to SecretFlow features and modules; deep dive into SPU runtime, compilation and optimization; analysis of SPU support for sorting operators; future optimization directions.

Session 2 – "Privacy Computing in Cross‑Institution Data Collaboration"

Speaker: Wen Bo (Unicom Digital Science – Yunjin Smart Technology Co., Ltd., Head of Data Security Compliance)

Speaker Bio: Leads data security compliance, contributed to multiple national and regional standards, holds patents, co‑authored white papers on data security, and received awards for AI‑telecom integration.

Outline: From data security to privacy computing; user‑centric privacy computing; practical scenarios of privacy computing in public data finance.

Session 3 – "Secure Federated Learning for Privacy Computing"

Speaker: Wang Xiaofen (Professor, University of Electronic Science and Technology of China)

Speaker Bio: Professor and master’s supervisor, expert in big data security, cloud security, privacy computing, blockchain, and AI security; author of 80+ papers and leader of numerous national projects.

Outline: Balancing privacy and collaboration in federated learning; attacks on federated learning information leakage; horizontal and vertical federated learning privacy protection and gradient leakage mitigation.

Session 4 – "Opportunities and Challenges of Privacy Computing in Public Data Financial Applications"

Speaker: Xie Na (Research Lead, Chengdu Gezhi Digital Finance Research Institute)

Speaker Bio: Research lead, contributor to China’s first white paper on public data finance, co‑author of related books, awarded for public data finance research.

Outline: Current status of public data in finance; role of privacy computing; challenges in financial business applications.

The meetup will also showcase the open‑source trusted privacy‑computing framework SecretFlow, which supports MPC, FL, TEE, and other mainstream privacy‑computing technologies, aiming to accelerate AI and data‑analysis scenarios while addressing privacy protection and data‑island challenges. For more information, visit the SecretFlow website (https://www.secretflow.org.cn) and its GitHub repository, as well as the Asterinas project (https://asterinas.github.io/) for secure trusted system software stacks.