Efficient Data Collaboration Using Multi-Party Privacy Preserving Machine Learning Framework-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Efficient Data Collaboration Using Multi-Party Privacy Preserving Machine Learning Framework

Published:2023 Issue: Volume:11 Page:138151-138164
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Salam Abdu¹^ORCID,Abrar Mohammad²^ORCID,Ullah Faizan³,Khan Izaz Ahmad³^ORCID,Amin Farhan⁴^ORCID,Choi Gyu Sang⁴

Affiliation:

1. Department of Computer Science, Abdul Wali Khan University Mardan, Mardan, Pakistan

2. Faculty of Computer Studies, Arab Open University, Muscat, Oman

3. Department of Computer Science, Bacha Khan University, Charsadda, Pakistan

4. Department of Information and Communication Engineering, Yeungnam University, Gyeongsan, Republic of Korea

Funder

Basic Science Research Program through the National Research Foundation of Korea

Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10345573.pdf?arnumber=10345573

Reference33 articles.

1. Artificial Intelligence and Machine Learning Algorithms

2. Data driven social partnerships: Exploring an emergent trend in search of research challenges and questions

3. A blockchain-based collaborative training method for multi-party data sharing

4. Manifesto of computational social science

5. A Review on the Mechanism Mitigating and Eliminating Internet Crimes using Modern Technologies

Cited by 3 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. Homomorphic Encryption and Collaborative Machine Learning for Secure Healthcare Analytics;SECURITY AND PRIVACY;2024-09-13

2. Deep Learning in Cybersecurity: A Hybrid BERT–LSTM Network for SQL Injection Attack Detection;IET Information Security;2024-04-05

3. Enhancing Network Privacy through Secure Multi-Party Computation in Cloud Environments;2024 International Conference on Integrated Circuits and Communication Systems (ICICACS);2024-02-23

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3