Intelligent Edge Computing: Algorithms, Security, and Artificial Intelligence-Driven Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 17 April 2026 | Viewed by 204
Special Issue Editor
Special Issue Information
Dear Colleagues,
The exponential growth of IoT devices and latency-sensitive applications demands a paradigm shift beyond traditional cloud computing. Edge intelligence (EI) emerges as the critical solution, bringing computation and data storage, as well as AI capabilities, closer to data sources, thus facilitating responsive intelligent service provisions to the end users. This Special Issue seeks cutting-edge research at the powerful intersection of algorithms, security, and artificial intelligence (AI) which drives next-generation cloud-edge consortium.
We invite original research contributions addressing the unique challenges and opportunities within EI. Topics may include, but are not limited to, the following:
- Resource-efficient AI/ML models for edge deployment, distributed learning (federated, split), lightweight inference, task scheduling, offloading, and optimization techniques for constrained edge environments.
- Robust security architectures, privacy-preserving techniques, intrusion detection/prevention for edge networks, secure firmware updates, trust management, and resilience against novel edge-specific threats.
- Innovative use cases leveraging intelligent edge AI in smart cities, industrial IoT (IIoT), autonomous vehicles, healthcare, AR/VR, precision agriculture, and real-time analytics etc., demonstrating tangible benefits and novel system designs.
Dr. Tiehua Zhang
Guest Editor
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- edge computing
- AI-driven edge applications
- Internet of Things
- federated/distributed learning
- cloud-edge service orchestration
- edge-centric LLMs
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