PLAN adapts CLIP in federated learning by synchronizing local prompts with a global reference and then selectively aggregating them, reaching the highest average accuracy on PACS, OfficeHome, VLCS, and DomainNet among 15 baselines.
Domain generalization for face anti-spoofing via negative data augmentation,
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Federated Domain Generalization via Prompt Learning and Aggregation
PLAN adapts CLIP in federated learning by synchronizing local prompts with a global reference and then selectively aggregating them, reaching the highest average accuracy on PACS, OfficeHome, VLCS, and DomainNet among 15 baselines.