… in industrial processes and environmental conditions. This paper presents a continual
learning pipeline to learn … The pipeline is configured to produce ML experiences (eg, training a …

… learning models in dynamic Industrial Internet of Things (IIoT), we propose an online continuous
reinforcement learning … reinforcement learning models in our online continuous learning …

… We also leverage continuous learning to engage new data collected from sensors, such
that the model is continuously updated. In the third scenario, we investigate the security threats …

… As a promising paradigm, Federated Learning (FL)-based distributed intrusion detection
offers potent protection for the network security of Industrial Internet of Things (IIoT) systems. …

… Learning (ML) tool designed as a continual learning pipeline to adapt to evolving data streams
in the Industrial Internet of Things … This tool creates ML experiences, starting with training …

… sensors and devices to support industrial applications, but … Continual Learning (CL) approach,
ie, Distillation-based Self-Guidance (DSG), to address challenges presented by industrial …

… training dataset, leading to DGMs’ limitation of generalization ability. To this end, the idea of
continual learning can … industrial IoT environment,” IEEE Internet Things J., vol. 8, no. 12, pp. …

… While ML is known to have issues of efficiency and scalability, an adaptive machine
learning algorithm using continuous learning could reliably operate in IIoT environments. …

… the Industrial Internet of Things (IIoT) to enable efficient manufacturing. Incremental learning
in the … devices produce data over time which needs continuous model updates. Incremental …

… is evaluated using two real-world industrial data sets where we demonstrate … constant
representing the learning rate. In this paper, we adopt the same SGD rule to train the base learners…