FedSCOPE: Federated cross-domain sequential recommendation with decoupled contrastive learning and privacy-preserving semantic enhancement

Abstract Cross-domain sequential recommendation (CDSR) models users’ dynamic preferences by exploiting behavioral signals from multiple domains, but it faces challenges in data sparsity, domain heterogeneity, and privacy protection. Although federated learning enables privacy-preserving CDSR by keep...

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Autori principali:	Lujin Zhao, Yi Lin, Sujuan Qin, Wenmin Li, Fei Gao, Yijie Shi, Zhengping Jin
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2026-02-01
Serie:	Scientific Reports
Soggetti:	Federated Learning Cross-Domain Sequential Recommendation Contrastive Learning Large Language Models
Accesso online:	https://doi.org/10.1038/s41598-026-38628-y
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