ResidualPlanner provides an optimal scalable matrix mechanism for Gaussian noise on marginal queries that optimizes convex loss functions of variances, with ResidualPlanner+ extending support to combined marginal and range/prefix-sum workloads while outperforming HDMM.
Note that the total number of cells on marginals in W kload is O (∑ A∈ W kload ∏ Atti∈ A|Atti| )
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ResidualPlanner+: a scalable matrix mechanism for marginals and beyond
ResidualPlanner provides an optimal scalable matrix mechanism for Gaussian noise on marginal queries that optimizes convex loss functions of variances, with ResidualPlanner+ extending support to combined marginal and range/prefix-sum workloads while outperforming HDMM.