FSLEdge: An energy-aware edge intelligence framework based on Federated Split Learning for Industrial Internet of Things-Reference-Cited by-同舟云学术

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FSLEdge: An energy-aware edge intelligence framework based on Federated Split Learning for Industrial Internet of Things

Published:2024-12 Issue: Volume:255 Page:124564
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Li Juan^ORCID,Wei Huan^ORCID,Liu Jin^ORCID,Liu Wei^ORCID

Publisher

Elsevier BV

Reference50 articles.

1. Internet of things based smart grids supported by intelligent edge computing;Chen;IEEE Access,2019

2. Machine learning and data mining in manufacturing;Dogan;Expert Systems with Applications,2021

3. Federated learning protocols for IoT edge computing;Foukalas;IEEE Internet of Things Journal,2022

4. Distributed learning of deep neural network over multiple agents;Gupta;Journal of Network and Computer Applications,2018

5. Resource-utilization-aware energy efficient server consolidation algorithm for green computing in IIOT;Han;Journal of Network and Computer Applications,2018

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