Frederico Gadelha Guimarães

One-Shot Federated Class-Incremental Learning for Medical Imaging via Variational Feature Transfer

Federated learning (FL) enables privacy-preserving collaboration for medical image analysis across decentralized institutions but faces major challenges from non-IID data distributions, high communication overhead in multi-round protocols, and catastrophic forgetting when models must adapt to sequen