Another Use of SMOTE for Interpretable Data Collaboration Analysis. (arXiv:2208.12458v1 [cs.LG])

Recently, data collaboration (DC) analysis has been developed for
privacy-preserving integrated analysis across multiple institutions. DC
analysis centralizes individually constructed dimensionality-reduced
intermediate representations and realizes integrated analysis via collaboration
representations without sharing the original data. To construct the
collaboration representations, each institution generates and shares a
shareable anchor dataset and centralizes its intermediate representation.
Although, random anchor dataset functions well for DC analysis in general,
using an anchor dataset whose distribution is close to that of the raw dataset
is …

analysis arxiv collaboration data data collaboration lg smote