Apr 09 2020

Online Event – Techruption Introduction on Privacy Proof Data Analytics (1/2)

11:00 - 12:00
Register Here  →

To comply with the coronavirus (COVID-19) safety measures, this event will take place online. Registered people will receive a link to enter our Microsoft Teams online meeting room, which you will be able to access easily via your current e-mail address.


On Thursday, April 9, we organize a Techruption introductory session concerning secure, distributed learning.  If you are interested in joining this introduction session, then please register via this page before April 8th!

This introductory session is followed by the related ideation session on April 15th. The event on the 15th will only be open for Techruption partners. The event on the 9th is open for everyone.

Secure, distributed learning was mentioned several times during the MPCL stagegates + brainstorm session on Dec 4th, 2019 and as such we warmly invite all interested partners (also the newer members!) to join a dedicated ideation session.



Data is the new oil. It fuels your organization with new insights (opportunities, efficiency, …) after careful purification and analyses (e.g. artificial intelligence). There is even more to be gained through data collaborations with other organizations (e.g. complementary data), but there are many reasons for you to be unwilling or unable to share data. By secure distributed learning, we think of the application of several (fairly) novel techniques such as federated learning (FL) and secure multi-party computation (MPC) to collaboratively train or exploit e.g. machine learning models on distributed datasets without disclosing your raw data or other intermediate results.


During this introductory session, we present the rationale of secure, distributed learning and show some techniques that enable this.


Everyone is welcome to attend, yet we particularly invite partners that are interested in the related ideation session in the week after.


Click here to go to the follow up ideation on secure, distributed learning