FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling

arXiv:2403.02630v1 Announce Type: new
Abstract: In recent years, Cross-Domain Recommendation (CDR) has drawn significant attention, which utilizes user data from multiple domains to enhance the recommendation performance. However, current CDR methods require sharing user data across domains, thereby violating the General Data Protection Regulation (GDPR). Consequently, numerous approaches have been proposed for Federated Cross-Domain Recommendation (FedCDR). Nevertheless, the data heterogeneity across different domains inevitably influences the overall performance of federated learning. In this study, we propose FedHCDR, a novel Federated …

abstract arxiv attention cs.ir cs.lg cs.si current data data protection domain domains gdpr general general data protection regulation hypergraph multiple performance protection recommendation regulation signal type user data