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Minutes MAP Open source product committee #3 13 01 2021
Thank you to everybody for joining the session and sharing your thoughts and ressources!
- Cédric Meurée (AiVision)
- Céline Jacques (Apricity)
- Chris-Alexandre Pena (Apricity)
- Jérôme Chambost (Apricity)
- Clément Mayer (Substra Foundation)
- Eric Boniface (Substra Foundation)
- Nathanaël Cretin (Substra Foundation)
- Camille Marini (Owkin / Substra Foundation)
- Romain Goussault (Owkin / Substra Foundation)
Today we have 2 different meetings with an overlapping scope (and people). We will set up from February a single monthly meeting that addresses the different topics according to the current events of the moment and the topics.
In addition to the various features indicated in the release notes, version 2 of Hyperledger Fabric has been implemented.
Following the various studies carried out, it would be potentially interesting to provide a distillation library in the SDK.
A concrete use case has been identified in the context of setting up a consortium. The effort to set up unsupervised training should not be substantial when necessary.
As a result of the efforts that have been made within the framework of Data For Good, a template has been proposed and made available. It is now necessary to identify what is present in the framework to see how to feed the template (automatically?) with the available information (Action Clément / Nathanaël)
The idea is not necessarily show data but at least have different statistics and the type of data. Due to privacy problems, it is possible that not all the information is always available (for example, the minimum / maximum). Today this information is available through discussion but data owners do not always know how to provide this information or how to calculate it. Automation would ensure the quality of the information provided. This feature is highly demanded by users. Action Jérôme: list the interesting information to be provided
A cheat sheet will be set up per version (because of the difficulty to manage versioning in the doc).
- Cheat Sheet VM Server: https://doc.substra.ai/setup/cheatsheet_vm.html
- Cheat sheet CLI: https://doc.substra.ai/cheatsheet_cli.html
On the clarification of permissions, an issue has been created on the subject and will be dealt with. A small mixed working group will be set up so that at each release of Substra there will be an update of the doc + version compatibility test.
- Which ports should be exposed? Need for clarification on the subject (Actions Clément / Nathanaël)
- Question: retrieving the weight of a learning: today we have the result but not the model. It is in the CLI today --> The possibility is being investigated for Q1 2021 as part of the Healthchain project. However, privacy issues will have to be resolved on the subject of allowing permissions.