most citedA Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy

1 citations · 2 across the 2 of their papers we have counts for

collaborators
Showing cs.CRShow all

1 paper · 1 filter

cs.CR2025★ 1 cited

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…