FedMobileNet: A Resource-Conscious Federated Learning Framework for Imbalanced Lung Cancer CT Image Classification
Federated learning enables distributed training without exchanging original images, but non-IID data and class imbalance can degrade model performance. In this study, FedMobileNet is presented as a decentralized machine learning system based on MobileNetV2 for multiclass classification. The training instances were spre...