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.
Role in this project:
DevOps Engineer & Security Engineer Contributions:13 commits, 33 PRs, 7 pushes in 5 months
Contributions summary:Dan primarily focused on enhancing the build and deployment infrastructure for the FBPCS project, particularly around Docker images. They implemented features to target specific platforms during image builds, ensuring consistent builds across different environments using the `--platform` argument. Furthermore, the user added support for VPC Flow logging in PCEs, incorporating parameters for enabling logging and configuring the S3 bucket for log storage, thereby contributing to the project's security monitoring capabilities. They also made adjustments to the deployment scripts.