IEEE

FedEF: Federated Learning for Heterogeneous and Class Imbalance Data

Abstract: Federated learning (FL) is a scheme that enables multiple participants to cooperate to train a high-performance machine learning model in a way that data cannot be exported. FL effectively ...
IEEE

Tackling Class Imbalance and Client Heterogeneity for Split Federated Learning in Wireless Networks

Abstract: As the complexity of deep neural networks escalates, traditional federated learning (FL) frameworks increasingly struggle since the training overhead of the full model is costly for resource ...