Federated Learning for Industrial Internet of Things in Future Industries

被引：54

作者：

Nguyen, Dinh C. ^{[1
]}

Ding, Ming ^{[3
]}

Pathirana, Pubudu N. ^{[2
]}

Seneviratne, Aruna ^{[4
]}

Li, Jun ^{[5
]}

Niyato, Dusit ^{[6
]}

Poor, H. Vincent ^{[7
]}

机构：

[1] Deakin Univ, Sch Engn, Geelong, Vic, Australia

[2] Deakin Univ, Sch Engn, Networked Sensing & Control Grp, Geelong, Vic, Australia

[3] CSIRO, Data61, Sydney, NSW, Australia

[4] Univ New South Wales, Telecommun, Sydney, NSW, Australia

[5] Nanjing Univ Sci & Technol, Nanjing, Jiangsu, Peoples R China

[6] Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore, Singapore

[7] Princeton Univ, Princeton, NJ 08544 USA

来源：

IEEE WIRELESS COMMUNICATIONS | 2021年 / 28卷 / 06期

基金：

中国国家自然科学基金; 美国国家科学基金会;

关键词：

Industrial Internet of Things; Artificial intelligence; Servers; Training; Load modeling; Industries; Data models;

D O I：

10.1109/MWC.001.2100102

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The Industrial Internet of Things (IIoT) offers promising opportunities to revolutionize the operation of industrial systems and become a key enabler of future industries. Recently, artificial intelligence (AI) has been widely utilized for realizing intelligent IIoT applications where AI techniques require centralized data collection and processing. However, this is not always feasible in realistic scenarios due to the high scalability of modern IIoT networks and growing industrial data confidentiality. Federated Learning (FL), as an emerging collaborative AI approach, is particularly attractive for intelligent IIoT networks by coordinating multiple IIoT devices and machines to perform AI training at the network edge while helping protect user privacy and confidential business information. In this article, we provide a detailed overview and discussions of the emerging applications of FL in several key IIoT services and applications. A case study is also provided to demonstrate the feasibility of FL in IIoT. Finally, we highlight a range of interesting open research topics that need to be addressed for the full realization of FL-IIoT in future industries.

引用

页码：192 / 199

页数：8

共 15 条

[1] A Study of Basic Needs and Psychological Wellbeing of Medical Workers in the Fever Clinic of a Tertiary General Hospital in Beijing during the COVID-19 Outbreak [J].