N. Scherf

Fair distributed machine learning with imbalanced data as a Stackelberg evolutionary game

Decentralised machine learning systems trained on heterogeneous and imbalanced data face a fundamental tension between predictive performance and equitable contribution across participating nodes. Here, we introduce two contribution-weighting mechanisms inspired by the principles of Stackelberg evolutionary games: the...