Edge AI Deploying Artificial Intelligence Models on Edge Devices for Real-Time Analytics

Edge AI Deploying Artificial Intelligence Models on Edge Devices for Real-Time Analytics

Because of its on-the-go nature, edge AI has gained popularity, allowing for realtime analytics by deploying artificial intelligence models onto edge devices. Despite the promise of Edge AI evidenced by existing research, there are still significant barriers to widespread adoption with issues such a...

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Bibliographic Details
Main Authors: Choudhary Sagar, S Vijitha, Bhavani Dokku Durga, N Bhuvaneswari, Tiwari Mohit, S Subburam
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:ITM Web of Conferences
Subjects:
edge ai
real-time analytics
artificial intelligence
energy efficiency
federated learning
explainable ai
edge-cloud integration
cybersecurity
multi-modal ai
autonomous systems
smart cities
healthcare ai
sustainable computing
model specialization
adaptive ai
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2025/07/itmconf_icsice2025_01009.pdf
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https://www.itm-conferences.org/articles/itmconf/pdf/2025/07/itmconf_icsice2025_01009.pdf

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