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Federated recommender system with data valuation for E-commerce platform
DOI:10.1016/j.eswa.2025.129695.png)
Abstract
En 中文
• We propose a federated learning method with subgraph-level clients. • Our proposed model selectively exploits global data to learn local client models. • Our experiments show robust results in both non-IID and IID scenarios.
Journal
IF:
7.5
Papers:
2.9W
Citations:
10.2W
Organization
No organization information available

