FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making unencrypted, readable data available to the other party or any third parties. Facebook provides impression & opportunity data, and the advertiser provides conversion / outcome data. Both parties have dedicated cloud computing instances living on separate Virtual Private Clouds (VPCs) that are connected to allow network communication. The FBPMP products that have been implemented are Private Lift and Private Attribution. It’s expected that more products will be implemented and added to the Private Measurement suite.
C++MIT
Facebook Private Computation Solutions provides multiple solutions that leverage various Privacy Enhancing Technologies (e.g., multi-party computation, differential privacy) used across Measurement and Signals. The existing solutions includes Private Lift and Private Attribution, which allow calculations of Lift and Attribution metrics without revealing opportunity or conversion data on an individual level through 2PC.
FBPCS is MIT licensed, as found in the LICENSE file.