2 papers
cs.CR2025
A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy
Xiang Li, Yifan Lin, Yuanzhe Zhang
To mitigate privacy leakage and performance issues in personalized advertising, this paper proposes a framework that integrates federated learning and differential privacy. The sys…
cs.IR2025
Gated Multimodal Graph Learning for Personalized Recommendation
Sibei Liu, Yuanzhe Zhang, Xiang Li +3
Multimodal recommendation has emerged as a promising solution to alleviate the cold-start and sparsity problems in collaborative filtering by incorporating rich content information…