PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences. (arXiv:2303.18200v1 [cs.CR])

Data privacy and ownership are significant in social data science, raising
legal and ethical concerns. Sharing and analyzing data is difficult when
different parties own different parts of it. An approach to this challenge is
to apply de-identification or anonymization techniques to the data before
collecting it for analysis. However, this can reduce data utility and increase
the risk of re-identification. To address these limitations, we present PADME,
a distributed analytics tool that federates model implementation and training.
PADME uses …

address analysis analytics challenge collecting data data privacy data science distributed identification legal machine machine learning own ownership platform privacy risk science sharing social social sciences techniques tool training utility