Machine Learning

Progress

Input Privacy-preserving Techniques 

Progress

The work of the project was presented in the November workshop. One of the feedback points was that the work of the project is very technical in nature. At the same time it was indicated that there may be overlap with the project of the synthetic data.

The first five use cases have been collected, documented according to the established classification and included in the list of use cases. The classified use cases are discussed in the project meeting. In the original WP1, the final step was to establish criteria for assessing maturity and readiness of techniques that wish to be tested in WP2 and WP3. During the discussion how to establish criteria, with the feedback from the November workshop on the technical nature of the project, we decided to chose for a new approach. The new approach is a generalization based on the used cases that have been submitted in order to draw a few reference scenarios. We want to provide these scenarios with benchmark data in Wp2 and then approach external technology partners to implement and test these scenarios. In the last work package the experiences are bundled and provided with recommendations. We believe that the chance of results will be greater by engaging external parties. At the same time, we are breaking free from technology (a recommendation from the November workshop), and it is easier to link up with the other initiatives. The proposal for the new work packages will be presented to the HLG-MOS November-December meeting.

Next Steps

New participants will bring new use-cases that will be added to the inventory and possibly generalized. A subset of most prominent use-cases will be identified. Reference scenarios that are relevant for different types of source data and/or different NSOs will be drafted and prioritized for follow-up action in WP2.

Risks and Issues