OpenMined / PipelineDP

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.

https://pipelinedp.io/

OpenMined/PipelineDP Issues

Spark Connect Support
Updated 4 months ago3
Create code examples for different tasks
Updated 5 months ago4
Contribution bounding with Group By privacy unit
Updated 7 months ago
Remove deprecated features
Closed 9 months ago1
Introduce per partition contribution bounding for sum
Closed 10 months ago3
Add information for explain calculation reports
Closed 10 months ago1
Support max_contribution_per_user contribution bounding
Closed 10 months ago10
Combiner for PyDP algoritms
Closed 10 months ago
Auto-tunning contribution bounding parameters
Closed a year ago2
Create a guideline how to run PipelineDP on AWS
Updated a year ago2
Create a guideline how to run PipelineDP on GCP
Updated a year ago
Laplace/Gaussian partition selection strategies.
Closed a year ago5
DataFrame style API
Updated a year ago2
Advance composition in PipelineDP
Updated 2 years ago4
Move parameter validation testing to proper place
Closed 2 years ago1
Improve numerical stabililty of DP mean and variance computations
Closed 2 years ago
Detailing the local example to match its jupyter sibling
Closed 2 years ago2
Absolute budget per aggregation
Updated 2 years ago6
Broken examples/restaraunt_visits/run_without_frameworks.py due to deprecated API
Closed 2 years ago1
Investigate possibility of PipelineDP API for Beam SQL
Updated 2 years ago
Investigate possibility of PipelineDP API for Spark SQL
Updated 2 years ago
Public partitions as a cartesian product of dimensions
Updated 2 years ago2
Vector summation DP aggregation
Updated 2 years ago7
Extract public_partitions from AggregateParams
Closed 2 years ago2
Computing DP variance
Closed 2 years ago2
Extend API of BudgetAccountants
Closed 2 years ago3
DP Percentiles
Closed 2 years ago
Support for optional dependencies during installation
Updated 2 years ago
Linux Support on pip
Closed 2 years ago6
sklearn `Pipeline` support and examples
Updated 2 years ago3
make dev fail ERROR: Package 'dp-accounting' requires a different Python: 2.7.13 not in '>=3.6'
Closed 2 years ago2
Support Dockerfile for Env Dependencies
Updated 2 years ago
BUG: Unhandled SIGABRT for constant-valued input columns
Closed 2 years ago3
Spark 2.X.X support?
Updated 2 years ago2
Beam public API
Closed 2 years ago3
Implement select_partition API function
Closed 2 years ago2
Accumulator for computing Count, Sum, Mean
Closed 2 years ago1
Ensure unique stage labels in BeamOperations
Closed 2 years ago
Github Actions are failing
Closed 2 years ago
Add parameter checking to DPEngine
Closed 2 years ago
Adding missing public partitions
Closed 2 years ago
Spark public API
Closed 2 years ago3
DP Count Accumulator
Closed 3 years ago3
Vector Summation accumulator
Closed 3 years ago8
Unifying API of BudgetAccountant and PLDBudgetAccountant
Closed 3 years ago4
DP Sum Accumulator
Closed 3 years ago2
Using accumulators in LocalOperations
Closed 3 years ago2
Implement filter_by_key in SparkRDDOperations
Closed 3 years ago5
Create Python wrappers for private partitions selection
Closed 3 years ago4
Using accumulators in SparkOperations
Closed 3 years ago6