Efficient and Secure Skyline Queries over Vertical Data Federation-Reference-Cited by-同舟云学术

Efficient and Secure Skyline Queries over Vertical Data Federation

Published:2022 Issue: Volume: Page:1-12
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Zhang Yuanyuan¹,Shi Yexuan¹^ORCID,Zhou Zimu²^ORCID,Xue Chunbo¹,Xu Yi¹^ORCID,Xu Ke¹,Du Junping³^ORCID

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

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/09950625.pdf?arnumber=9950625

Cited by 5 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. A survey on federated learning: a perspective from multi-party computation;Frontiers of Computer Science;2023-12-02

2. Crowd-enabled multiple Pareto-optimal queries for multi-criteria decision-making services;Future Generation Computer Systems;2023-11

3. Federated $k$-Dominant Skyline: An Efficient Approach Under Differential Privacy;2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS);2023-09-22

4. Private set intersection: A systematic literature review;Computer Science Review;2023-08

5. Decentralized P2P Federated Learning for Privacy-Preserving and Resilient Mobile Robotic Systems;IEEE Wireless Communications;2023-04