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Internet of Things and Cyber-Physical Systems, 2023 Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI refers to the practice of doing AI computations near the users at the network's edge, instead of centralised location like a cloud service provider's data ...
Raghubir Singh, Sukhpal Singh Gill
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Low-rank adaptation for edge AI [PDF]
Scientific ReportsThe rapid advancement of edge artificial intelligence (AI) has unlocked transformative applications across various domains. However, it also poses significant challenges in efficiently updating models on edge devices, which are often constrained by ...
Zhixue Wang, Hongyao Ma, Jiahui Zhai
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Exploring Smartphone-Based Edge AI Inferences Using Real Testbeds [PDF]
SensorsThe increasing availability of lightweight pre-trained models and AI execution frameworks is causing edge AI to become ubiquitous. Particularly, deep learning (DL) models are being used in computer vision (CV) for performing object recognition and image ...
Matías Hirsch +2 more
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Design of Internet of Things Framework Based on Artificial Intelligence and Edge Agents [PDF]
Jisuanji gongcheng, 2023 This paper explores the integration of edge computing with Artificial Intelligence(AI) models to enhance the capabilities of the Internet of Things(IoT)and expand its application potential.
Yaguo LI, Guanliang LI, Kai ZHANG, Tao JIN
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Future Internet, 2023 Edge AI, an interdisciplinary technology that enables distributed intelligence with edge devices, is quickly becoming a critical component in early health prediction.
Elarbi Badidi
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IEEE Access Special Section Editorial: Edge Computing and Networking for Ubiquitous AI
IEEE Access, 2021 With its rapid development recently, edge computing with processing, storage, and networking capabilities has become an important solution to break through the bottleneck of emerging technology development by virtue of its advantages in reducing data ...
Victor C. M. Leung +4 more
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ACM SIGCOMM Computer Communication Review, 2022 Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discussion on AI methods and capabilities in the context of edge computing, referred as Edge AI. In a nutshell, we envision Edge AI to provide adaptation for data-driven applications, enhance network and radio access, and allow the creation, optimisation, and
Aaron Yi Ding +18 more
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Practical Evaluation of Federated Learning in Edge AI for IoT
JOIV: International Journal on Informatics Visualization, 2023 AI running locally on IoT Edge devices is called Edge AI. Federated Learning (FL) is a Machine Learning (ML) technique that builds upon the concept of distributed computing and preserves data privacy while still supporting trainable AI models. This paper
Sauryadeep Pal +3 more
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Utilizing AI Planning on the Edge
IEEE Internet Computing, 2022 This work was supported in part by the “Smart Communities and Technologies (Smart CT)” and it has received funding from the EU’s Horizon 2020 Research and Innovation Programme under grant agreement No. 871525.
Ilir Murturi +2 more
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A LIGHTWEIGHT MULTI-PERSON POSE ESTIMATION SCHEME BASED ON JETSON NANO [PDF]
Applied Computer Science, 2023 As the basic technology of human action recognition, pose estimation is attracting more and more researchers' attention, while edge application scenarios pose a higher challenge.
Lei LIU +2 more
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