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:
Back-end Developer & DevOps Engineer Contributions:2 releases, 204 commits, 172 PRs in 1 year 1 month
Contributions summary:Logan primarily worked on the `fbpcs` repository, contributing to features related to configuration management and Docker builds. They added support for copying configuration settings and for list-based arguments in the configuration generation script. They also addressed build issues within the Docker environment, indicating involvement in DevOps practices and an understanding of build processes. Furthermore, they refactored and implemented functions related to data processing and code generation.