JOURNAL ARTICLE

Federated Learning for Privacy-Preserving Personalized Advertising Recommendation

Wang, Ming

Year: 2024 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research
Keywords:
Key (lock) Feature (linguistics) Recommender system The Internet Personalization

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.61
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Privacy-Preserving Technologies in Data
Physical Sciences →  Computer Science →  Artificial Intelligence
Privacy, Security, and Data Protection
Social Sciences →  Social Sciences →  Sociology and Political Science
Recommender Systems and Techniques
Physical Sciences →  Computer Science →  Information Systems

Related Documents

JOURNAL ARTICLE

Federated Learning for Privacy-Preserving Personalized Advertising Recommendation

Wang, Ming

Journal:   Zenodo (CERN European Organization for Nuclear Research) Year: 2024
JOURNAL ARTICLE

Privacy-Preserving and Verifiable Personalized Federated Learning

Dailin XieDan Li

Journal:   Symmetry Year: 2025 Vol: 17 (3)Pages: 361-361
JOURNAL ARTICLE

Privacy-Preserving Heterogeneous Personalized Federated Learning With Knowledge

Yanghe PanZhou SuJianbing NiYuntao WangJinhao Zhou

Journal:   IEEE Transactions on Network Science and Engineering Year: 2024 Vol: 11 (6)Pages: 5969-5982
© 2026 ScienceGate Book Chapters — All rights reserved.