Secure and efficient coded multi-access edge computing with generalized graph neural networks

We formulate a novel framework to improve security and utility of the coded multi-access edge computing (MEC) network for Internet of Things (IoT) applications where multiple edge servers (ESs) jointly process raw IoT data to obtain the final network output. To correctly recover the final output eve...

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Bibliographic Details

Main Authors:	Alia Asheralieva, Dusit Niyato
Format:	Default Article
Published:	2022
Subjects:	Engineering Communications engineering Cybersecurity and privacy Distributed computing and systems software Coded distributed computing Computational offloading Deep learning Graph neural networks Internet of Things Lagrange inter-polation Machine learning Multi-access edge computing Resource allocation Security
Online Access:	https://hdl.handle.net/2134/25918504.v1
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