Advancing IIoT with Over-the-Air Federated Learning: The Role of Iterative Magnitude Pruning

arXiv:2403.14120v1 Announce Type: new
Abstract: The industrial Internet of Things (IIoT) under Industry 4.0 heralds an era of interconnected smart devices where data-driven insights and machine learning (ML) fuse to revolutionize manufacturing. A noteworthy development in IIoT is the integration of federated learning (FL), which addresses data privacy and security among devices. FL enables edge sensors, also known as peripheral intelligence units (PIUs) to learn and adapt using their data locally, without explicit sharing of confidential data, to facilitate a …

abstract arxiv cs.ai cs.lg data data-driven data privacy development devices eess.sp federated learning iiot industrial industrial internet of things industry industry 4.0 insights integration internet internet of things iterative machine machine learning manufacturing privacy pruning role smart type