Making distributed edge machine learning for resource-constrained communities and environments smarter: contexts and challenges

The maturity of machine learning (ML) development and the decreasing deployment cost of capable edge devices have proliferated the development and deployment of edge ML solutions for critical IoT-based business applications. The combination of edge computing and ML not only addresses the development...

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