… 2) IIoT Transfer Learning: We design a transfer learning … For the centralized transfer
learning scenarios with large … federated learning framework for IoT,” IEEE Internet Things J., …

… machine learning (ML) will also play a fundamental role in handling complex tasks at industrial
… In this article, we shed light on the design of transfer learning (TL)-based systems for IIoT. …

… to use transfer learning for relay selection in the industrial IoT. … for a specific task, transfer
learning exploits the acquired … Transfer learning is capable of improving learning performance, …

… life-long collaborative learning. We design a novel distributed transfer learning (TL) framework
to … TCP for industrial IoT: Analysis and design,” IEEE Internet Things J., vol. 7, no. 6, pp. …

… In this direction, transfer learning (TL) can be a revolutionary breakthrough. TL allows us
to democratize the machine learning models and reuse the previously developed models in …

… To handle this issue, meta-learning has been applied in the existing research to optimize …
adaptation than transfer learning. The bottlenecks of implementing meta-learning in mission-…

… The related investigation is conducted based on 5G network and Internet of Things technology.
Under the traditional method, the transfer learning is introduced to improve the AdaBoost …

… To this end, we propose a federated active transfer learning (FATL) model, which through
training and testing is able to address those open challenges. Details about the training and …

… a two-stage transfer learning-based deep learning model. Transfer learning is applied to
feature … monitoring system for continuous steel casting,” IEEE Internet Things J., vol. 3, no. 6, pp. …

… transfer learning framework, federated transfer learning for … faced by most machine learning
approaches in modern smart … for smart homes,” IEEE Internet Things J., vol. 6, no. 5, pp. …