2 papers
cs.LG2026
FedBiCross: Personalized One-Shot Federated Learning on Medical Images
Yuexuan Xia, Yinghao Zhang, Yalin Liu +2
Data-free knowledge distillation-based one-shot federated learning (OSFL) trains a model in a single communication round without sharing raw data, making OSFL attractive for privac…
cs.CV2025
FedDAG: Federated Domain Adversarial Generation Towards Generalizable Medical Image Analysis
Haoxuan Che, Yifei Wu, Haibo Jin +2
Federated domain generalization aims to train a global model from multiple source domains and ensure its generalization ability to unseen target domains. Due to the target domain b…