Compute-to-Data

Providing access to data in a privacy-preserving fashion

Quick Start
​Compute-to-Data example​
Motivation
The most basic scenario for a Publisher is to provide access to the datasets they own or manage. However, a Publisher may offer a service to execute some computation on top of their data. This has some benefits:
The data never leaves the Publisher enclave.
It's not necessary to move the data; the algorithm is sent to the data.
Having only one copy of the data and not moving it makes it easier to be compliant with data protection regulations.
​This page elaborates on the benefits.
Further Reading
​Compute-to-Data architecture​
​Tutorial: Writing Algorithms​
​Tutorial: Set Up a Compute-to-Data Environment​
​Use Compute-to-Data in Ocean Market​
​Build ML models via Ocean Market or Python​
​Compute-to-Data Python Quickstart​
​(Old) Compute-to-Data specs (OEP12)

Update Metadata

Architecture

Last modified 7mo ago