Insights on the internet of things: past, present, and future directions

T Sutikno, D Thalmann - … Computing Electronics and Control), 2022 - telkomnika.uad.ac.id
The internet of things (IoT) is rapidly expanding and improving operations in a wide range of
real-world applications, from consumer IoT and enterprise IoT to manufacturing and …

LEO Satellite Constellation for Global-Scale Remote Sensing with On-Orbit Cloud AI Computing

Y Li, M Wang, K Hwang, Z Li, T Ji - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
This article proposes a new satellite-based framework for global-scale remote sensing that
is integrated with on-orbit cloud computing and artificial intelligence (AI) services. These …

Distributed Learning for Large-scale Models at Edge with Privacy Protection

Y Yuan, S Chen, D Yu, Z Zhao, Y Zou… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Big data and strong computing power have promoted artificial intelligence to the era of big
models. In particular, ChatGPT's debut heralded the vigorous development of large models …

Spatio-temporal data fusion techniques for modeling digital twin City

Y Li, S Chen, K Hwang, X Ji, Z Lei, Y Zhu… - Geo-spatial …, 2024 - Taylor & Francis
The digital twin city technique maps the massive city environmental and social data on a
three-dimensional virtual model. It presents the operational status of physical world and …

A secure and robust knowledge transfer framework via stratified-causality distribution adjustment in intelligent collaborative services

J Jia, S Ma, L Wang, Y Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The rapid development of device-edge-cloud collaborative computing techniques has
actively contributed to the popularization and application of intelligent service models. The …

[HTML][HTML] Edge AIBench 2.0: A scalable autonomous vehicle benchmark for IoT–Edge–Cloud systems

T Hao, W Gao, C Lan, F Tang, Z Jiang… - … on Benchmarks, Standards …, 2022 - Elsevier
Abstract Many emerging IoT–Edge–Cloud computing systems are not yet implemented or
are too confidential to share the code or even tricky to replicate its execution environment …

Tpcx-ai on nvidia jetsons

R Bayer, JV Tøttrup, P Tözün - Technology Conference on Performance …, 2022 - Springer
Despite their resource-and power-constrained nature, edge devices also exhibit an increase
in the available compute and memory resources and heterogeneity, similar to the evolution …

2D-SAZD: A Novel 2D Coded Distributed Computing Framework for Matrix-Matrix Multiplication

M Dai, Z Zhang, Z Zheng, Z Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
By separating huge dimensional matrix-matrix multiplication at a single computing node into
parallel small matrix multiplications (with appropriate encoding) at parallel worker nodes …

Characterization and Machine Learning Classification of AI and PC Workloads

FN Sibai, A Asaduzzaman, A El-Moursy - IEEE Access, 2024 - ieeexplore.ieee.org
To better design AI processors, it is critical to characterize artificial intelligence (AI)
workloads and contrast them to normal personal computer (PC) workloads. In this work, we …

[PDF][PDF] Blockchain-Based Cognitive Computing Model for Data Security on a Cloud Platform

X Guo, G Liang, J Liu, X Chen - Computers, Materials & …, 2023 - cdn.techscience.cn
Cloud storage is widely used by large companies to store vast amounts of data and files,
offering flexibility, financial savings, and security. However, information shoplifting poses …