Industrial Internet of Thing

The Industrial Internet of Things (IIoT) integrates interconnected devices and machine learning to optimize industrial processes, focusing on efficient data management and secure, collaborative model training. Current research emphasizes federated learning (FL), often enhanced by deep reinforcement learning (DRL) for efficient resource allocation and model aggregation, alongside the use of transformer-based large models and other neural network architectures for tasks like fault detection, intrusion detection, and process optimization. This field is significant for its potential to improve manufacturing efficiency, enhance cybersecurity, and enable more autonomous and adaptive industrial systems.