Class NoisyStats
Object
NoisyStats
- All Implemented Interfaces:
Computation<List<DRes<SFixed>>,ProtocolBuilderNumeric>
public class NoisyStats extends Object implements Computation<List<DRes<SFixed>>,ProtocolBuilderNumeric>
Compute differentially private estimates for the coefficients of a linear model fitted on a
dataset. The method is based on the paper Differentially
Private Simple Linear Regression by Alabi et. al.
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Constructor Summary
Constructors Constructor Description NoisyStats(List<DRes<SFixed>> x, List<DRes<SFixed>> y, double epsilon)
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Method Summary
Modifier and Type Method Description DRes<List<DRes<SFixed>>>
buildComputation(ProtocolBuilderNumeric root)
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Constructor Details
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Method Details
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buildComputation
- Specified by:
buildComputation
in interfaceComputation<List<DRes<SFixed>>,ProtocolBuilderNumeric>
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