Guest Editorial: Federated Learning for Industrial IoT in Industry 4.0
Jiehan Zhou, Qinghua Lu, Wenbin Dai, Enrique Herrera‐Viedma
Abstract
The development and evolution of modern information and communication technologies is leading us to the fourth industrial revolution, in which the Industrial Internet of Things (IIoT) is assumed to be one of the key aspects to realize Industry 4.0. Federated learning facilitates the implementation of secure platform with consideration on data privacy to support IIoT. Many researchers and practitioners have expressed their interest in this area with the expectation of profound effect in the context of Industry 4.0. However, the topic is quite new and has not been investigated under its different profiles until now. There is a lack of literature from both a theoretical and an empirical point of view. Therefore, this special sector is dedicated to provide cutting-edge technologies and novel studies, which can realize and elevate the effectiveness and advantages of federated learning for advancing industrial IoT. Eleven articles have been accepted by this Special Section based on review, and revision processing.