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Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices

Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3068911055

Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices

About this item

Full title

Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2024-04

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

The Hierarchical Inference (HI) paradigm employs a tiered processing: the inference from simple data samples are accepted at the end device, while complex data samples are offloaded to the central servers. HI has recently emerged as an effective method for balancing inference accuracy, data processing, transmission throughput, and offloading cost....

Alternative Titles

Full title

Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3068911055

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3068911055

Other Identifiers

E-ISSN

2331-8422

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