Security of federated learning for cloud‐edge intelligence collaborative computing-Reference-Cited by-同舟云学术

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Security of federated learning for cloud‐edge intelligence collaborative computing

Published:2022-08-18 Issue:11 Volume:37 Page:9290-9308
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Yang Jie¹,Zheng Jun¹,Zhang Zheng¹,Chen Q. I.²,Wong Duncan S.²,Li Yuanzhang³^ORCID

Affiliation:

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

2. Institute of Artificial Intelligence and Blockchain Guangzhou University Guangzhou China

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

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22992

Reference66 articles.

1. Resource Allocation in IoT Edge Computing via Concurrent Federated Reinforcement Learning

2. Edge Computing Security: State of the Art and Challenges

3. Federated Learning in Smart City Sensing: Challenges and Opportunities

4. NPMML: a framework for non‐interactive privacy‐preserving multi‐party machine learning;Li T;IEEE Trans Dependable Secure Comput,2020

5. LyuL YuH YangQ.Threats to Federated Learning: a Survey arXiv preprintarXiv:2003.02133.2020.

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