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...

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Bibliografske podrobnosti

Principais autores:	Leandro Antonio Pazmiño Ortiz, Ivonne Fernanda Maldonado Soliz, Vanessa Katherine Guevara Balarezo
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-06-01
Serija:	Future Internet
Teme:	artificial intelligence IoT edge computing resource-constrained devices TinyML federated learning
Online dostop:	https://www.mdpi.com/1999-5903/17/6/257
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