PrivFR: Privacy-Enhanced Federated Recommendation With Shared Hash Embedding-Reference-Cited by-同舟云学术

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PrivFR: Privacy-Enhanced Federated Recommendation With Shared Hash Embedding

Published:2024 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Zhang Honglei¹^ORCID,Zhou Xin²^ORCID,Shen Zhiqi²^ORCID,Li Yidong¹^ORCID

Affiliation:

1. Key Laboratory of Big Data and Artificial Intelligence in Transportation, Ministry of Education, and the School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China

2. School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10506199.pdf?arnumber=10506199

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