Private Domain Adaptation from a Public Source. (arXiv:2208.06135v1 [cs.LG])

A key problem in a variety of applications is that of domain adaptation from
a public source domain, for which a relatively large amount of labeled data
with no privacy constraints is at one's disposal, to a private target domain,
for which a private sample is available with very few or no labeled data. In
regression problems with no privacy constraints on the source or target data, a
discrepancy minimization algorithm based on several theoretical guarantees was
shown to outperform …

domain lg public