ApaPRFL: Robust Privacy-Preserving Federated Learning Scheme Against Poisoning Adversaries for Intelligent Devices Using Edge Computing-Reference-Cited by-同舟云学术

ApaPRFL: Robust Privacy-Preserving Federated Learning Scheme Against Poisoning Adversaries for Intelligent Devices Using Edge Computing

Published:2024-02 Issue:1 Volume:70 Page:725-734
ISSN:0098-3063
Container-title:IEEE Transactions on Consumer Electronics
language:
Short-container-title:IEEE Trans. Consumer Electron.

Author:

Zuo Shaojun¹^ORCID,Xie Yong¹^ORCID,Wu Libing²^ORCID,Wu Jing³

Affiliation:

1. Department of Computer Technology and Application, Qinghai University, Xining, China

2. School of Cyber Science and Engineering, Wuhan University, Wuhan, China

3. Qinghai Provincial Key Laboratory of Big Data in Finance and Artificial Intelligence Application Technology, Qinghai University of Science and Technology, Xining, China

Funder

National Natural Science Foundation of China

Science and Technology Foundation of Qinghai Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/30/10510045/10470365.pdf?arnumber=10470365

Reference39 articles.

1. SRECG: ECG Signal Super-Resolution Framework for Portable/Wearable Devices in Cardiac Arrhythmias Classification

2. MIXO: Mixture Of Experts-Based Visual Odometry for Multicamera Autonomous Systems

3. Compressing of Medium- to Low-Rate Transform Residuals With Semi-Extreme Sparse Coding as an Alternate Transform in Video Coding

4. An Overview on Edge Computing Research

5. Communication-efficient learning of deep networks from decentralized data;McMahan

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