AI RESEARCH
Federated Cross-Modal Retrieval with Missing Modalities via Semantic Routing and Adapter Personalization
arXiv CS.CV
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ArXi:2604.22885v1 Announce Type: new Federated cross-modal retrieval faces severe challenges from heterogeneous client data, particularly non-IID semantic distributions and missing modalities. Under such heterogeneity, a single global model is often insufficient to capture both shared cross-modal knowledge and client-specific characteristics. We propose RCSR, a personalization-friendly federated framework that integrates prototype anchoring, retrieval-centric semantic routing, and optional client-specific adapters.