snipsco/sda

Secure distributed aggregation of high-dimensional vectors

43
/ 100
Emerging

This project helps organizations aggregate sensitive data, like locally trained machine learning models from mobile phones, without ever exposing individual data points. Participants submit their data, which is then securely combined by a network of 'clerks' and a server. The recipient receives only the final, aggregated sum, ensuring the privacy of all contributors.

No commits in the last 6 months.

Use this if you need to combine data from many sources to get a collective sum, but you cannot or should not see the individual contributions due to privacy concerns.

Not ideal if your aggregation needs are more complex than simple sums or if you require real-time access to individual data points.

privacy-preserving-AI federated-learning data-privacy mobile-analytics secure-computation
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 19 / 25

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Stars

58

Forks

19

Language

Rust

License

Last pushed

Mar 31, 2017

Commits (30d)

0

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curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/snipsco/sda"

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