Accurate and Privacy-Preserving Person Localization Using Federated-Learning and the Camera Surveillance Systems of Public Places-Reference-Cited by-同舟云学术

Accurate and Privacy-Preserving Person Localization Using Federated-Learning and the Camera Surveillance Systems of Public Places

Author:

Nabil Mahmoud¹^ORCID,Sherif Ahmed²^ORCID,Mahmoud Mohamed³^ORCID,Alsmary Waleed⁴^ORCID,Alsabaan Maazen⁵^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, North Carolina A&T University, Greensboro, NC, USA

2. School of Computing Sciences and Computer Engineering, The University of Southern Mississippi, Hattiesburg, MS, USA

3. Electrical and Computer Engineering Department, Tennessee Tech University, Cookeville, TN, USA

4. Computer Engineering Department, College of Computer and Information Systems, Umm Al-Qura University, Mecca, Saudi Arabia

5. Computer Engineering Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

Funder

National Plan of Science, Technology and Innovation (MAARIFAH), King Abdulaziz City for Science and Technology, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Cited by 2 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

2. Secure Localization using Federated Learning and Blockchain: A Survey;2024 16th International Conference on Human System Interaction (HSI);2024-07-08