Abstract: Federated learning has achieved remarkable results in a variety of decision-making tasks, but may create models that are biased toward some groups due to the labeling bias and distributional ...

Abstract: Utilizing the unbiasedness criterion, this article proposes a bias-compensated normalized Euclidean direction search (BC-NEDS) algorithm with noisy inputs, which can effectively mitigate the ...