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Advancing TinyML in IoT: A Holistic System-Level Perspective for Resource-Constrained AI

Resource-constrained devices, including low-power Internet of Things (IoT) nodes, microcontrollers, and edge computing platforms, have increasingly become the focal point for deploying on-device intelligence. By integrating artificial intelligence (AI) closer to data sources, these systems aim to ac...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Leandro Antonio Pazmiño Ortiz, Ivonne Fernanda Maldonado Soliz, Vanessa Katherine Guevara Balarezo
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2025-06-01
Schriftenreihe:Future Internet
Schlagworte:
artificial intelligence
IoT
edge computing
resource-constrained devices
TinyML
federated learning
Online-Zugang:https://www.mdpi.com/1999-5903/17/6/257
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