Fair Distributed Machine Learning with Imbalanced Data as a Stackelberg Evolutionary Game

Sebastian Niehaus, Ingo Roeder, Nico Scherf

Decentralised learning enables the training of deep learning algorithms without centralising data sets, resulting in benefits such as improved data privacy, operational efficiency…