2016
Data-weighted ensemble learning for privacy-preserving distributed learning
ICASSP 2016accepted
In collaborative medical research settings, a moderate number of groups (sites) may wish to merge local analyses of private subject data. Differential privacy offers one way to guarantee privacy for these local analyses. We describe a novel ensemble learning method that we call the "feature method"…