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Showing 4 of 4 academic articles

Decentralized intelligence in smart grids: a comprehensive survey of edge computing and federated learning

Pijush Kanti Dutta Pramanik, Bijoy Kumar Upadhyaya, Ajay Kushwaha, Debashish Bhowmik • Energy and AI (2026)

Modern power grids are becoming more distributed and data-intensive, while centralized, cloud-based analytics struggle to keep pace. Routing everything through a central system introduces delays, strains network capacity, complicates compli...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.egyai.2026.100925

A Machine Learning-Oriented Survey on Tiny Machine Learning

Luigi Capogrosso, Federico Cunico, Dong Seon Cheng, Franco Fummi et al. • IEEE Access (2024)

The emergence of Tiny Machine Learning (TinyML) has positively revolutionized the field of Artificial Intelligence by promoting the joint design of resource-constrained IoT hardware devices and their learning-based software architectures. T...

OPENALEX cc-by DOI: https://doi.org/10.1109/access.2024.3365349

Decentralized Distributed Sequential Neural Networks Inference on Low-Power Microcontrollers in Wireless Sensor Networks: A Predictive Maintenance Case Study

Yernazar Bolat, Iain Murray, Yifei Ren, Nasim Ferdosian • Sensors (2025)

The growing adoption of IoT applications has led to increased use of low-power microcontroller units (MCUs) for energy-efficient, local data processing. However, deploying deep neural networks (DNNs) on these constrained devices is challeng...

DOAJ Open Access (DOAJ) DOI: 10.3390/s25154595