DP-XGBoost: Private Machine Learning at Scale

Understand

The big-data revolution announced ten years ago does not seem to have fully happened at the expected scale.

• One of the main obstacle to this, has been the lack of data circulation.
• And one of the many reasons people and organizations did not share as much as expected is the privacy risk associated with data sharing operations.
• There has been many works on practical systems to compute statistical queries with Differential Privacy (DP).