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Awesome GitHub RepositoriesSecure Multi-Party Computation Platforms
Platforms implementing cryptographic protocols to analyze joint datasets without raw data exposure.
Distinct from Multi-Party Computation Coordination: Shortlist candidates focus on narrow coordination or unrelated third-party platform interfaces.
Explore 1 awesome GitHub repository matching security & cryptography · Secure Multi-Party Computation Platforms. Refine with filters or upvote what's useful.
Awesome Secure Multi-Party Computation Platforms GitHub Repositories
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- secretflow/secretflow
secretflow/secretflow
2,629Ver en GitHubSecretFlow is a privacy computing framework and platform designed for secure multi-party computation, federated learning, and privacy-preserving data analysis across independent nodes. It provides a management system to coordinate secure workloads and cryptographic tasks across a distributed cluster. The project enables joint data analysis and machine learning on partitioned datasets using cryptographic protocols. It allows for the training of models and the execution of analytical queries across multiple parties without exposing raw source information to any single participant. The framewor
Provides a platform using cryptographic protocols to analyze joint datasets without exposing raw information.
Pythonconfidential-computingdata-analysisdifferential-privacy
