Machine Learning at the Edge: Difference between revisions
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===The Need for Model Optimization at the Edge=== | ===The Need for Model Optimization at the Edge=== | ||
Given the constrained resources, along with the inherently dynamic environment that edge devices must function in, model optimization is a crucial part of machine learning in edge computing. | |||
Revision as of 22:46, 4 April 2025
Machine Learning at the Edge
4.1 Overview of ML at the Edge
4.2 ML Training at the Edge
4.3 ML Model Optimization at the Edge
The Need for Model Optimization at the Edge
Given the constrained resources, along with the inherently dynamic environment that edge devices must function in, model optimization is a crucial part of machine learning in edge computing.