PACS
Emerging11papers using it
2023first seen
Papers using PACS (11)
- Efficiently Assemble Normalization Layers and Regularization for Federated Domain GeneralizationMitigating Domain Shift in Federated Learning via Intra- and Inter-Domain PrototypesFederated Domain Generalization with Data-free On-server Matching GradientMulti-Modal Style Transfer-based Prompt Tuning for Efficient Federated Domain GeneralizationFedSDAF: Leveraging Source Domain Awareness for Enhanced Federated Domain GeneralizationFederated Domain Generalization with Label Smoothing and Balanced
Decentralized TrainingPARDON: Privacy-Aware and Robust Federated Domain GeneralizationFederated Unsupervised Domain Generalization using Global and Local
Alignment of GradientsFedCLIP: Fast Generalization and Personalization for CLIP in Federated
LearningHypernetwork-Driven Model Fusion for Federated Domain GeneralizationFedCCRL: Federated Domain Generalization with Cross-Client
Representation Learning