Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence

12/01/2020
by   Wiebke Toussaint, et al.
0

Machine learning systems (MLSys) are emerging in the Internet of Things (IoT) to provision edge intelligence, which is paving our way towards the vision of ubiquitous intelligence. However, despite the maturity of machine learning systems and the IoT, we are facing severe challenges when integrating MLSys and IoT in practical context. For instance, many machine learning systems have been developed for large-scale production (e.g., cloud environments), but IoT introduces additional demands due to heterogeneous and resource-constrained devices and decentralized operation environment. To shed light on this convergence of MLSys and IoT, this paper analyzes the trade-offs by covering the latest developments (up to 2020) on scaling and distributing ML across cloud, edge, and IoT devices. We position machine learning systems as a component of the IoT, and edge intelligence as a socio-technical system. On the challenges of designing trustworthy edge intelligence, we advocate a holistic design approach that takes multi-stakeholder concerns, design requirements and trade-offs into consideration, and highlight the future research opportunities in edge intelligence.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

05/29/2020

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

Machine learning (ML) technologies are emerging in the Internet of Thing...
07/04/2020

Regulating Accuracy-Efficiency Trade-Offs in Distributed Machine Learning Systems

In this paper we discuss the trade-off between accuracy and efficiency i...
01/21/2020

Designing for the Long Tail of Machine Learning

Recent technical advances has made machine learning (ML) a promising com...
04/10/2022

Reducing Model Jitter: Stable Re-training of Semantic Parsers in Production Environments

Retraining modern deep learning systems can lead to variations in model ...
03/05/2019

Communication Aspects of the Integration of Wireless IoT Devices with Distributed Ledger Technology

The pervasive need to safely share and store information between devices...
07/25/2019

Distributing Intelligence to the Edge and Beyond

Machine Intelligence (MI) technologies have revolutionized the design an...
01/20/2022

Multi-SIM support in 5G Evolution: Challenges and Opportunities

Devices with multiple Subscriber Identification Modules (SIM)s are expec...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.