SecretFlow’s YinYu 1.0 Release: New MVP Deployment Package, Expanded Architecture, and Full‑Stack Interoperability
The YinYu 1.0 release introduces an MVP deployment package for privacy‑computing beginners, expands the product, resource, and connectivity layers, adds the Kuscia orchestration framework, enhances algorithm, device, and cryptographic capabilities, and promotes full‑stack interoperability across platforms.
On July 7, 2023, the SecretFlow open‑source community, together with Ant Group and Machine Heart, hosted the Data Elements and Privacy Computing Forum in Shanghai, where Ant Group’s Privacy Computing Department GM Wang Lei announced the open‑source release of YinYu 1.0 and presented its expanded framework.
The new version broadens the open‑source scope, optimizes the overall architecture, and improves performance, usability, and connectivity across product, resource, and inter‑connection layers.
YinYu 1.0 also launches an MVP (Minimum Viable Product) deployment package that provides a lightweight, one‑click experience for privacy‑computing newcomers, bundling pre‑configured nodes and data resources to enable instant data processing, analysis, model development, and evaluation.
The MVP package addresses three key problems: simplifying preparation steps, offering template configurations to lower component complexity, and integrating interactive tutorials for a seamless learning curve.
At the resource layer, the Kuscia privacy‑computing task orchestration framework is introduced, solving integration challenges such as port merging and API access, supporting various deployment modes, multi‑task concurrency, and interoperability with external systems like FATE.
Full‑stack interoperability is further achieved through the release of the white‑box ECDH‑PSI algorithm protocol and standardization of the SS‑LR protocol, enabling cross‑platform algorithm execution and scheduling.
Additional highlights of YinYu 1.0 include algorithm‑level improvements (SGB performance, SCQL enhancements, new secure protocols), device‑level updates (SPU, HEU extensions), cryptographic advancements (Ferret OT extension, GGM tree optimization), and usability upgrades such as Chinese SCQL documentation and a lightweight Lite image.
The community also announced a one‑year anniversary meetup in Shanghai to detail YinYu 1.0 and launch the second phase of the OSCP open‑source contribution program.
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