Efficient and Secure Skyline Queries over Vertical Data Federation

Author:

Zhang Yuanyuan1,Shi Yexuan1ORCID,Zhou Zimu2ORCID,Xue Chunbo1,Xu Yi1ORCID,Xu Ke1,Du Junping3ORCID

Affiliation:

1. State Key Laboratory of Software Development Environment and Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing, Beihang University, China

2. Singapore Management University, Singapore

3. School of Computer Science, Beijing University of Posts and Telecommunications, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On Data Distribution Leakage in Cross-Silo Federated Learning;IEEE Transactions on Knowledge and Data Engineering;2024-07

2. PTreeB: Efficient and Privacy-Preserving k-d Tree Building over Vertically Distributed Data in Cloud;ICC 2024 - IEEE International Conference on Communications;2024-06-09

3. Secure Similarity Queries Over Vertically Distributed Data via TEE-Enhanced Cloud Computing;IEEE Transactions on Information Forensics and Security;2024

4. Low-overhead Privacy-preserving Location-based Skyline Query;2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2023-12-21

5. An Incentive Mechanism for Consortium Blockchain-based Cross-Silo Federated Learning;2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS);2023-12-17

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