Adaptive Sampling and Clipping for Private Worst-Case Group Optimization

ArXi:2602.10820v2 Announce Type: replace A central requirement for the acceptance of machine learning methods for human-centric tasks is that they should be fair, in the sense that they should work comparably well for individuals from different societal groups. A second, equally important, requirement is that they should respect the privacy of user data.