论文标题
物联网中智能服务的机器学习系统：一项调查
Machine Learning Systems for Intelligent Services in the IoT: A Survey
论文作者
论文摘要
机器学习（ML）技术正在物联网（IoT）中出现，以提供智能服务。这项调查超出了现有的ML算法和云驱动设计，以调查较少探索的系统，扩展和社会技术方面，以巩固ML和IoT。它涵盖了跨云，边缘和物联网设备的缩放和分配ML的最新开发项目（最高2020年）。通过一个多层框架来对系统的设计选择进行分类和阐明，这项调查在功能，利益相关者的一致性和可信赖性方面揭示了在不断上升的云边缘设备连续体中开发和部署ML系统的基本问题。
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.
