An Aggregation-Free Federated Learning for Tackling Data Heterogeneity

Yuan Wang, Huazhu Fu, Renuga Kanagavelu +3

The performance of Federated Learning (FL) hinges on the effectiveness of utilizing knowledge from distributed datasets. Traditional FL methods adopt an aggregate-then-adapt framew…