PANCODE: Multilevel Partitioning of Neural Networks for Constrained Internet-of-Things Devices

PANCODE: Multilevel Partitioning of Neural Networks for Constrained Internet-of-Things Devices

The increasing number of Internet-of-Things (IoT) devices will generate unprecedented data in the upcoming years. Fog computing may prevent the saturation of the network infrastructure by processing data at the edge or within these devices. Consequently, the machine intelligence built almost exclusi...

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Bibliographic Details
Main Authors: Fabiola Martins Campos de Oliveira, Luiz Fernando Bittencourt, Carlos Alberto Kamienski, Edson Borin
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
distributed systems
fog computing
graph partitioning algorithms
Internet of Things
performance evaluation
Online Access:https://ieeexplore.ieee.org/document/10005306/

Internet

https://ieeexplore.ieee.org/document/10005306/

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