2025
FedImp: Federated Learning Using Important Layers of Client Models for the Diagnosis of Breast Cancer Histopathology Images
ICASSP 2025accepted
Federated learning methods can utilize datasets from multiple clients without requiring to share the data. Thus, these methods are helpful in preserving privacy and taking the benefit of a larger pool of data. However, most federated learning methods do not explicitly consider the importance of diff…