most citedClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis

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cs.LG2024

FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning

Xinpeng Wang, Yongxin Guo, Xiaoying Tang

Domain Generalization (DG) aims to train models that can effectively generalize to unseen domains. However, in the context of Federated Learning (FL), where clients collaboratively…