A framework for fair and robust clinical risk prediction through collaborative learning and localized uncertainty quantification
A collaborative learning framework that treats demographic subgroups as clients and aggregates their model parameters using strategies that encode different assumptions about group contribution, and a novel difficulty decomposition framework, derived from the localized conformal classifier's calibration scores, disting...