FedCDR: Privacy-preserving federated cross-domain recommendation

FedCDR: Privacy-preserving federated cross-domain recommendation

Cross-Domain Recommendation (CDR) aims to solve data sparsity and cold-start problems by utilizing a relatively information-rich source domain to improve the recommendation performance of the data-sparse target domain. However, most existing approaches rely on the assumption of centralized storage o...

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Bibliographic Details
Main Authors: Dengcheng Yan, Yuchuan Zhao, Zhongxiu Yang, Ying Jin, Yiwen Zhang
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2022-08-01
Series:Digital Communications and Networks
Subjects:
Cross-domain recommendation
Federated learning
Privacy preserving
Online Access:http://www.sciencedirect.com/science/article/pii/S2352864822000839

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http://www.sciencedirect.com/science/article/pii/S2352864822000839

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