Abstract: Imbalanced data affects a range of machine learning applications including bioengineering. Sampling is the most common approach to deal with imbalanced data. In this study, the effectiveness ...

Abstract: In Federated Learning (FL) systems, clients share updates derived from their local data with the server while maintaining privacy. The server aggregates these updates to refine the global ...