In this post, let's take a brief look at how C2D works.
Data owners approve AI algorithms to work with their data. Compute-to-Data orchestrates remote computation and data execution to train AI models while maintaining data privacy.
1. Data Upload and Registration: The data owner uploads data to the marketplace and sets access parameters and terms of use.
2. Data processing request: The data consumer selects a dataset of interest and submits a request for a specific algorithm or analysis to be performed on that dataset.
Computation Execution: Computations are performed in a secure environment on the trading floor servers, ensuring that data is not transmitted or copied anywhere.
3. Results: The results of the analysis are provided to the data consumer, but the raw data itself remains inaccessible to them.
This approach allows data owners to control the use of their data, while ensuring the highest possible privacy and data protection, and monetize their data.
This approach will find great application in everyday life, it can be used for research, for example, a pharmaceutical company collects data from patients to develop a more effective drug, but thanks to Compute-to-Data they will get only the necessary information, without personal data of the patient, and the patient will be paid for the use of their data. It can also be used in the sector of finance, science, energy and many others.
If you want to know more information, I recommend you to visit the Ocean Protocol website - https://oceanprotocol.com/learn/compute-to-data/.
Details:
Website - oceanprotocol.com
Twitter - @Ocean Protocol
@Ocean Protocol @SingularityNET @Fetch.ai
