Decoupling Semantic and Structural Alignment for Cross-Domain Federated Learning.
Cross-domain federated learning (CFL) suffers from degraded generalization due to feature discrepancies across clients. Most existing methods improve generalization by aligning cross-domain semantic features or enhancing feature diversity. However, they lack explicit constraints on the structural consistency of feature...