Machine Learning Systems for Intelligent Services in the IoT: A Survey

• URL: http://arxiv.org/abs/2006.04950v3
• Date: Tue, 1 Dec 2020 11:14:40 GMT
• Title: Machine Learning Systems for Intelligent Services in the IoT: A Survey
• Authors: Wiebke Toussaint and Aaron Yi Ding
• Abstract summary: This survey moves beyond existing ML algorithms and cloud-driven design to investigate the less-explored systems. It covers the latest developments (up to 2020) on scaling and distributing ML across cloud, edge, and IoT devices.
• Score: 0.7106986689736825
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Machine learning (ML) technologies are emerging in the Internet of Things (IoT) to provision intelligent services. This survey moves beyond existing ML algorithms and cloud-driven design to investigate the less-explored systems, scaling and socio-technical aspects for consolidating ML and IoT. It covers the latest developments (up to 2020) on scaling and distributing ML across cloud, edge, and IoT devices. With a multi-layered framework to classify and illuminate system design choices, this survey exposes fundamental concerns of developing and deploying ML systems in the rising cloud-edge-device continuum in terms of functionality, stakeholder alignment and trustworthiness.

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