A federated learning attack method based on edge collaboration via cloud-Reference-Cited by-同舟云学术

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A federated learning attack method based on edge collaboration via cloud

Published:2022-12-10 Issue: Volume: Page:
ISSN:0038-0644
Container-title:Software: Practice and Experience
language:en
Short-container-title:Softw Pract Exp

Author:

Yang Jie¹,Baker Thar²^ORCID,Gill Sukhpal Singh³^ORCID,Yang Xiaochuan⁴,Han Weifeng⁵,Li Yuanzhang⁴

Affiliation:

1. School of Cyberspace Science and Technology Beijing Institute of Technology Beijing China

2. Department of Computer Science, College of Computing and Informatics University of Sharjah Sharjah UAE

3. School of Electronic Engineering and Computer Science Queen Mary University of London London UK

4. School of Computer Science Beijing Institute of Technology Beijing China

5. School of Mechanical Manufacturing and Automation Engineer of China Railway Tunnel Bureau Group Co., Ltd Zhengzhou Henan China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Wiley

Subject

Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/spe.3180

Reference43 articles.

1. A Survey on the Edge Computing for the Internet of Things

2. Orchestrating the development lifecycle of machine learning‐based IoT applications: a taxonomy and survey;Qian B;ACM Comput Surv (CSUR),2020

3. A secure fog‐based platform for SCADA‐based IoT critical infrastructure

4. Energy efficient protocols for wireless sensor networks: a survey and approach;Sahoo B;Int J Comput Appl,2012

5. IoTSim‐Edge: A simulation framework for modeling the behavior of Internet of Things and edge computing environments

Cited by 4 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. Special issue on collaborative edge computing for secure and scalable Internet of Things;Software: Practice and Experience;2024-04-17

2. Modern computing: Vision and challenges;Telematics and Informatics Reports;2024-03

3. DFaP: Data Filtering and Purification Against Backdoor Attacks;Lecture Notes in Computer Science;2024

4. AI-based fog and edge computing: A systematic review, taxonomy and future directions;Internet of Things;2023-04

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