A Distributed Hierarchical Deep Computation Model for Federated Learning in Edge Computing

Haifeng Zheng; Min Gao; Zhizhang Chen; Xinxin Feng

doi:10.1109/TII.2021.3065719

A Distributed Hierarchical Deep Computation Model for Federated Learning in Edge Computing

Haifeng Zheng, Min Gao, Zhizhang Chen, Xinxin Feng

Biochemistry, Genetics and Molecular Biology

Research output: Contribution to journal › Article › peer-review

38 Citations (Scopus)

Original language	English
Journal	IEEE Transactions on Industrial Informatics
DOIs	https://doi.org/10.1109/TII.2021.3065719
Publication status	Accepted/In press - 2021

ASJC Scopus Subject Areas

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/TII.2021.3065719

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@article{f35a2aa06d814320a20300d99248d637,

title = "A Distributed Hierarchical Deep Computation Model for Federated Learning in Edge Computing",

author = "Haifeng Zheng and Min Gao and Zhizhang Chen and Xinxin Feng",

note = "Publisher Copyright: IEEE",

year = "2021",

doi = "10.1109/TII.2021.3065719",

language = "English",

journal = "IEEE Transactions on Industrial Informatics",

issn = "1551-3203",

publisher = "IEEE Computer Society",

}

TY - JOUR

T1 - A Distributed Hierarchical Deep Computation Model for Federated Learning in Edge Computing

AU - Zheng, Haifeng

AU - Gao, Min

AU - Chen, Zhizhang

AU - Feng, Xinxin

N1 - Publisher Copyright: IEEE

PY - 2021

Y1 - 2021

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UR - http://www.scopus.com/inward/citedby.url?scp=85102693127&partnerID=8YFLogxK

U2 - 10.1109/TII.2021.3065719

DO - 10.1109/TII.2021.3065719

M3 - Article

AN - SCOPUS:85102693127

SN - 1551-3203

JO - IEEE Transactions on Industrial Informatics

JF - IEEE Transactions on Industrial Informatics

ER -

A Distributed Hierarchical Deep Computation Model for Federated Learning in Edge Computing

ASJC Scopus Subject Areas

UN SDGs

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