Vadym Doroshenko

I think this is a good feature to have, it can be definitely useful for some use cases.

Thanks Ajinkya! Sure, go ahead My answers: 1.Yes, `AggregationParams` need to have 2 additional parameters `epsilon` and `delta`. 2.Yes, correct, currently `budget_weight` corresponds to the splitting of the whole budget....

Hi @thehimalayanleo! Any progress? Is it anything I can help? If needed we can have a VC or pair programming

@thehimalayanleo sure, we can have a VC. Please write me in slack, and we can find a time. In OpenMined workspace my slack is vadym.

Thank you!

Thank you!

Ah, I didn't notice that this issue was closed. I've reopened, I'd prefer to keep everything on 1 issue.

### Implementation of computations of sensitivies in based on `max_contributions` Note: this is a missing part of finishing this task. #### DP theory We need sensitivities for [Laplace](https://en.wikipedia.org/wiki/Additive_noise_mechanisms#Laplace_Mechanism) (L1-sensitivity) and...

1. [Data computations in data pipelines reference doc](https://github.com/google/differential-privacy/blob/main/common_docs/Differential_Privacy_Computations_In_Data_Pipelines.pdf) - it's cross-language design doc, which describes how PipelineDP built (section _Noise addtion mechanisms_ contains about computing sensitivites) 2. [Differentially Private SQL...

For the definition of L0, Linf sensitivities, please look at [Data computations in data pipelines reference doc](https://github.com/google/differential-privacy/blob/main/common_docs/Differential_Privacy_Computations_In_Data_Pipelines.pdf) in section _Noise addtion mechanisms_ page 6. For `max_contributions` we don't need to...