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.
Computing histogram for sum per partition (i.e. of non-dp sum per partition). Its computation similar to linf_sum_contributions_histogram: i.e. the range between min/max split on 10^4 bins and count/sum/max for each bin is computed.
Computing histogram for sum per partition (i.e. of non-dp sum per partition). Its computation similar to
linf_sum_contributions_histogram: i.e. the range between min/max split on 10^4 bins and count/sum/max for each bin is computed.