This example shows how you can build and run a spam detection model!
The choice for blind computing implies certain trade-offs in comparison to conventional computing. What you gain in privacy, you pay in extra computational overhead & capacity constraints.
Therefore, you will notice that large-scale computational workloads may lead to long compilation and/or execution times or hitting network capacity guardrails.
That said, the Nillion team is working around the clock to push the boundaries of this technology and bring the potential of blind computing to reality 🚀
If you want to get involved in the blind computing community and be the first to know all big updates, join our Discord
And if you want to contribute to the blind computing revolution, we welcome open-source contributors!
