Latency-efficient edge intelligence in IoT networks using knowledge distillation

Abstract Latency-efficient edge intelligence in IoT networks is crucial to support real-time decision-making, low-power data processing, and autonomous operations across smart environments. Knowledge distillation offers a promising direction to compress complex AI models into lighter versions suitab...

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Hlavní autoři:	Zhitao Cui, Muhammad Syafiq Bin Mohd Pozi, Mohamad Farhan Bin Mohamad Mohsin
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Springer 2026-04-01
Edice:	Discover Computing
Témata:	Edge intelligence Knowledge distillation Federated learning IoT networks Latency optimization Edge computing
On-line přístup:	https://doi.org/10.1007/s10791-026-10080-6
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