Factory > Showcase > SPINDLE
Name:
SPINDLE
Description:
Scalable, privacy-preserving, distributed learning on distributed datasets
Professor — Lab:
Jean-Pierre Hubaux — Laboratory for Data Security
Contacts:
David Froelicher Joao de Sá
Technical description:
SPINDLE allows to train and evaluate generalized linear models on datasets that are stored at different data providers who don't want to share the original data.
Papers:
Project status:
unknown — entered showcase: 2021-01-21 — entry updated: 2022-09-28
Factory Development:
2021/Q1 created Spindle demonstrator
C4DT Contact:
Valérian Rousset
Code quality:
This project has not yet been evaluated by the C4DT Factory team. We will be happy to evaluate it upon request.
Project type:
Application
Programming language:
GoLang
License:
other
Notes:
Transfered to TuneInsight