Tensor Completion Methods for Collaborative Intelligence

Tensor Completion Methods for Collaborative Intelligence

In the race to bring Artificial Intelligence (AI) to the edge, collaborative intelligence has emerged as a promising way to lighten the computation load on edge devices that run applications based on Deep Neural Networks (DNNs). Typically, a deep model is split at a given layer into edge and cloud s...

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Bibliographic Details
Main Authors: Lior Bragilevsky, Ivan V. Bajic
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Tensor completion
missing data imputation
tensor decomposition
tensor reconstruction
collaborative intelligence
deep feature transmission
Online Access:https://ieeexplore.ieee.org/document/9017944/

Internet

https://ieeexplore.ieee.org/document/9017944/

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