Towards Federated Learning and Multi-Access Edge Computing for Air Quality Monitoring: Literature Review and Assessment

Satheesh Abimannan; El-Sayed M El-Alfy; Shahid Hussain; Yue-Shan Chang; Saurabh Shukla; Dhivyadharsini Satheesh; John G Breslin

doi:10.3390/su151813951

Towards Federated Learning and Multi-Access Edge Computing for Air Quality Monitoring: Literature Review and Assessment

Satheesh Abimannan
, El-Sayed M El-Alfy
, Shahid Hussain
, Yue-Shan Chang
, Saurabh Shukla
, Dhivyadharsini Satheesh
, John G Breslin

Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review

51 Citations (Scopus)

Original language	Undefined/Unknown
Journal	Sustainability
Volume	15
Issue number	18
DOIs	https://doi.org/10.3390/su151813951
Publication status	Published - 20 Sep 2023

UN SDGs

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

SDG 11 Sustainable Cities and Communities
SDG 17 Partnerships for the Goals

Access to Document

10.3390/su151813951

https://www.mdpi.com/2071-1050/15/18/13951

Cite this

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title = "Towards Federated Learning and Multi-Access Edge Computing for Air Quality Monitoring: Literature Review and Assessment",

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year = "2023",

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doi = "10.3390/su151813951",

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volume = "15",

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AU - Abimannan, Satheesh

AU - El-Alfy, El-Sayed M

AU - Hussain, Shahid

AU - Chang, Yue-Shan

AU - Shukla, Saurabh

AU - Satheesh, Dhivyadharsini

AU - Breslin, John G

PY - 2023/9/20

Y1 - 2023/9/20

U2 - 10.3390/su151813951

DO - 10.3390/su151813951

M3 - Article

VL - 15

JO - Sustainability

JF - Sustainability

IS - 18

ER -