Feb. 13, 2024, 9:52 p.m. | /u/Raistlin74

Data Science www.reddit.com

Homomorphic encryption is a form of encryption that allows computations to be performed on encrypted data without first having to decrypt it.

It is used to work on shared sensible data.

We have several public institutions thinking on create a shared datalake with some private labs. Of course anonimized, but where thinking about this on some specific but sensible and highly useful data.

Has any of you any experience with it in production cases? Can you share it?
TIA

course data datalake datascience encrypted data encryption form homomorphic encryption labs of course public thinking work

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US