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Extend vertical partitioned demonstration #25

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TTitcombe opened this issue Jun 19, 2020 · 0 comments
Open

Extend vertical partitioned demonstration #25

TTitcombe opened this issue Jun 19, 2020 · 0 comments
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Type: Epic 🤙 Describes a large amount of functionality that will likely be broken down into smaller issues
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Extended example

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@TTitcombe
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TTitcombe commented Jun 19, 2020 •
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Description

Extend the MVP (partitioning MNIST into images and labels) to work on arbitrary vertically partitioned datasets

Why?

The dataset/dataloader/data partitioning/splitNN architecture/PSI functions are coded assuming the provided data is MNIST and the partitioning function split images and labels. Fortunately, the real world has more data than just MNIST. In this epic we will generalise the code to work with many datasets and partitions

Breakdown

IN PROGRESS

Who else?

May require work in PySyft and PSI

Additional Context

Should be completed after #2 and #3
@TTitcombe TTitcombe added Priority: 4 - Low 😎 Should only be scheduled if it's important relative to other issues Type: Epic 🤙 Describes a large amount of functionality that will likely be broken down into smaller issues labels Jun 19, 2020
@TTitcombe TTitcombe removed the Priority: 4 - Low 😎 Should only be scheduled if it's important relative to other issues label Jul 11, 2020
@TTitcombe TTitcombe mentioned this issue Jul 11, 2020
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@TTitcombe TTitcombe pinned this issue Jul 15, 2020
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Type: Epic 🤙 Describes a large amount of functionality that will likely be broken down into smaller issues
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Extended example
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