Edge AI: Theory, Methods and Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 September 2026 | Viewed by 105
Special Issue Editor
Interests: knowledge graph; graph computing; edge computing; network architecture
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As artificial intelligence evolves from centralized cloud infrastructures to distributed edge environments, computing paradigms are increasingly converging cloud, edge, and endpoint networks in a collaborative framework. This Special Issue, titled "Edge AI: Theory, Methods and Applications", delves into the forefront of this shift, tackling key challenges in deploying large models on resource-limited devices via sophisticated lightweighting, quantization, and heterogeneous acceleration strategies. We welcome original contributions and in-depth reviews that integrate theoretical advances with practical implementations in vertical domains, with particular emphasis on Edge AI's contributions to advancing autonomy in Embodied AI, enabling seamless real-time interactions in Smart Cockpits, and transforming energy optimization in Smart Grids and Virtual Power Plants (VPPs). Through discussions of distributed inference, privacy-aware computing, and specialized edge intelligence, this issue aspires to shape the future of robust, low-latency, and energy-efficient AI architectures.
Dr. Yijun Mo
Guest Editor
Manuscript Submission Information
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Keywords
- edge AI
- distributed inference
- model quantization
- embodied AI
- smart grids
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