Apr 2, 2025 · Artificial Intelligence

How SecretFlow Enables Privacy‑Preserving AI Model Training with Secure Multi‑Party Computation

SecretFlow is an open‑source privacy‑computing framework that lets multiple parties perform encrypted data analysis and AI model training without exposing raw data, offering unified MPC, federated learning and differential privacy features, with step‑by‑step Docker installation, Python examples, and a modular architecture for secure multi‑party computation.

AI model trainingData ProtectionPrivacy Computing

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How SecretFlow Enables Privacy‑Preserving AI Model Training with Secure Multi‑Party Computation

AntTech

Jul 7, 2023 · Information Security

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.

InteroperabilityKusciaMVP deployment

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SecretFlow’s YinYu 1.0 Release: New MVP Deployment Package, Expanded Architecture, and Full‑Stack Interoperability