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"Privacy-preserving Offloading in Edge Intelligence Systems with Induct" by Jude Tchaye-Kondi, Yanlong Zhai et al.

We address privacy and latency issues in edge-cloud computing environments where the neural network training is centralized. This paper considers the scenario where the edge devices are the only data sources for the deep learning model to be trained on the central server. Improper access to the massive amounts of data generated by edge devices could lead to privacy concerns. As a result, existing solutions for preserving privacy and reducing network latency in the edge environment rely on auxili...
Cloud Computing Cloud Computing Data Models Deep Learning Differential Privacy Edge Intelligence
Source: uow.edu.au

Quectel showcases industrial smart color sorter solution with edge intelligence at Embedded World 2023

Quectel Wireless Solutions, a global IoT solutions provider, today announces how its latest smart module with machine compute and edge intelligence capabilities is revolutionizing the color sorter industry with higher efficiency and accuracy.
Phil Rawcliffe Norbert Muhrer Quectel Wireless Solutions Head Of Communications Wireless Solutions Embedded World

Global Smart Electricity Meter Data Management Market Analysis Report 2022: Penetration Rate is Forecast to Increase from Just Over 40% at the Start of 2022 to 65% by 2030 - ResearchAndMarkets.com

The "Global Smart Electricity Meter Data Management Growth Opportunities" report has been added to ResearchAndMarkets.coms offering. The global penetration
United States Trends In Managed Services Smart Electricity Meter Data Management Growth Topics Covered Increasingly Difficult Meter Data Management

CMKL UNIVERSITY Hold The 13th IEEE CLOUDCOM 2022

The 13th edition of IEEE cloud computing technology and science (CloudCom) Conference, sponsored by IEEE Computer Society and its Technical Committee on Cloud Computing (TCCLD), PMU-C, NVIDIA, AWS, T.C.C. Technology, and Yip In Tsoi, at the Millennium Hilton Bangkok on December 13โ€“16, 2022 has finally ended on a high note, parting with new innovations, ideas, […]
Krung Thep Mahanakhon Chao Phraya Thailand General Victor Bahl Martin Gilje Jaatun Hubertus Franke
Source: thaipr.net

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"TreeNet Based Fast Task Decomposition for Resource-Constrained Edge In" by Dong Lu, Yanlong Zhai et al.

Edge intelligence is an emerging technology that integrates edge computing and deep learning to bring AI to the networkโ€™s edge. It has gained wide attention for its lower network latency and better privacy preservation abilities. However, the inference of deep neural networks is computationally demanding and results in poor real-time performance, making it challenging for resource-constrained edge devices. In this paper, we propose a hierarchical deep learning model based on TreeNet to reduce ...
Adaptation Models Computational Modeling Deep Learning Edge Computing Edge Intelligence Odel Acceleration
Source: uow.edu.au

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