Fig. 2: Fairness & convergence evaluation.
From: Towards fairness-aware and privacy-preserving enhanced collaborative learning for healthcare
a, Test accuracy of heterogeneous models obtained by three types of clients with different computational power on the same global test set. b, Convergence analysis of DynamicFL and other baselines on CancerSlides and BloodCell. c, Pie chart illustrating the proportions of strong, medium, and weak clients under different client distributions in the experiments. Source data are provided as a Source Data file.
