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October 5, 2025Open Access

Edge Artificial Intelligence: A Systematic Review of Evolution, Taxonomic Frameworks, and Future Horizons

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Authors

MAMohamad Abou AliFDFadi Dornaika

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Overview

This systematic review explores edge artificial intelligence, its taxonomy, and emerging challenges, suggesting future opportunities.

Key Points

  • Edge AI enhances privacy by processing data on devices near its source, improving latency and efficiency.
  • The analysis emphasizes key technologies like tinyml and federated learning, crucial for Edge AI applications.
  • Following PRISMA guidelines, the review dissects challenges such as resource limitations and security in Edge AI.
  • Emerging areas like neuromorphic hardware and continual learning algorithms present exciting opportunities for future research.

Cite This Study

Ali et al. (2025) studied this question.

synapsesocial.com/papers/68e25382d6d66a53c2474aeehttps://doi.org/10.48550/arxiv.2510.01439
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