Collaborative ensemble learning under differential privacy-Reference-Cited by-同舟云学术

Collaborative ensemble learning under differential privacy

Published:2018-03-07 Issue:1 Volume:16 Page:73-87
ISSN:2405-6464
Container-title:Web Intelligence
language:
Short-container-title:WEB

Author:

Xiang Tao¹²,Li Yang²,Li Xiaoguo²,Zhong Shigang²,Yu Shui³

Affiliation:

1. Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University), Ministry of Education, China. E-mail: txiang@cqu.edu.cn

2. College of Computer Science, Chongqing University, Chongqing 400044, China. E-mails: yli069@cqu.edu.cn, xguoli@cqu.edu.cn, zhongshigang@cqu.edu.cn

3. School of Information Technology, Deakin University, Melbourne, Australia. E-mail: syu@deakin.edu.au

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Networks and Communications,Software

Reference36 articles.

1. Random forests;Breiman;Machine learning,2001

2. L. Breiman, J. Friedman, R.A. Olshen and C.J. Stone, Classification and Regression Trees, CRC Press, 1984.

3. Correlated network data publication via differential privacy;Chen;The VLDB Journal,2014

4. Classification model for detecting and managing credit loan fraud based on individual-level utility concept;Choi;ACM SIGMIS Database,2013

5. C. Dwork, Differential privacy, in: Proceedings of ACM International Colloquium on Automata, Languages and Programming (ICALP), 2006, pp. 1–12.

Cited by 14 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. Decision Tree-based Privacy Protection in Federated Learning: A Survey;2024 IEEE 10th Conference on Big Data Security on Cloud (BigDataSecurity);2024-05-10

2. Decision Tree-Based Federated Learning: A Survey;Blockchains;2024-03-07

3. An ensemble learning model based on differentially private decision tree;Complex & Intelligent Systems;2023-03-16

4. Privacy-Preserving Ensemble Infused Enhanced Deep Neural Network Framework for Edge Cloud Convergence;IEEE Internet of Things Journal;2023-03-01

5. A two-phase random forest with differential privacy;Applied Intelligence;2022-10-06