FedAlign reports state-of-the-art average accuracy on PACS, OfficeHome, Office-Caltech-10, and miniDomainNet by combining MixStyle augmentation with supervised contrastive and prediction alignment losses.
Domain-adversarial training of neural networks
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FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment
FedAlign reports state-of-the-art average accuracy on PACS, OfficeHome, Office-Caltech-10, and miniDomainNet by combining MixStyle augmentation with supervised contrastive and prediction alignment losses.