Remote Data Science Part 2: Introduction to PySyft and PyGrid

This post is a continuation of "Remote Data Science Part 1: Today's privacy challenges in BigData". The previous blog talks about the importance of understanding privacy challenges in BigData and explains how "Remote Data Science" enables three privacy guarantees for the data scientist and the data owner. This blog explains the different components of Remote Data Science. Understand "Model-centric FL" and "Data-centric FL" while both are deployable in Remote Data Science Architecture. PyGrid is a peer-to-peer network of data curators/owners and data scientists who can collectively train AI models using PySyft on decentralised data (Data never leaves the device).