PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such as Apache Spark, Apache Beam, and more.
Having 1 budget allows having different noise_kind in different parameters in one run of utility analysis. Which is especially important since DPAlgorithmSelector can choose different noise_kind
Having 1 budget allows having different
noise_kind
in different parameters in one run of utility analysis. Which is especially important since DPAlgorithmSelector can choose differentnoise_kind