Towards Personalized Federated Learning Via Group Collaboration in IIoT-Reference-Cited by-同舟云学术

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Towards Personalized Federated Learning Via Group Collaboration in IIoT

Published:2022 Issue: Volume: Page:1-10
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Lu Jianfeng¹^ORCID,Liu Haibo²,Jia Riheng²^ORCID,Wang Jiangtao³^ORCID,Sun Lichao⁴^ORCID,Wan Shaohua⁵^ORCID

Affiliation:

1. School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China

2. School of Mathematics and Computer Science, Zhejiang Normal University, Jinhua, China

3. Center for Intelligent Healthcare, Coventry University, Coventry, U.K.

4. Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA, USA

5. Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen, China

Funder

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation of China

Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/4389054/09954890.pdf?arnumber=9954890

Cited by 11 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. Game-Theoretic Design of Quality-Aware Incentive Mechanisms for Hierarchical Federated Learning;IEEE Internet of Things Journal;2024-08-01

2. A Spatial-Temporal Gated Hypergraph Convolution Network for Traffic Prediction;IEEE Transactions on Vehicular Technology;2024-07

3. FedNow: An Efficiency-Aware Incentive Mechanism Enables Privacy Protection and Efficient Resource Utilization in Federated Edge Learning;Applied Sciences;2024-01-05

4. A differentially private distributed collaborative XGBoost method;Electronic Research Archive;2024

5. FedBoost: Bayesian Estimation Based Client Selection for Federated Learning;IEEE Access;2024

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