… matrices and benchmark datasets in the lightweight deep learning research topic. In the
combination of the usage of deep reinforcement learning, model compression can advance to …

… This paper has reviewed different lightweight deep network structures and approaches for
mobile devices where the computational resource is very limited. Inspired by different network …

… Thus recent research has steered toward the optimization of deep learning architectures for
… performance of deep lightweight neural networks, starting by introducing lightweight models, …

… In recent years, deep learning algorithms have shown high … This paper, proposes a Lightweight
Deep Learning Model for … the existing machine learning and deep learning techniques. …

… in lightweight devices with constrained resources. Lightweight deep learning techniques
can be … In this report, we briefly summarize various lightweight deep learning techniques and …

… Deep learning methods have already enjoyed an … medical images, therefore deep learning
approaches are considered … two deep learning models following a lightweight architecture, …

… Currently, transfer learning has succeeded as a preferred approach in medical image … This
paper proposes a lightweight transfer-learning-based feature extraction followed by Support …

… deep learning-based lightweight object detection models on edge devices. Designing such
lightweight … The most recent deep learning-based lightweight object detection methods are …

… In this case, lightweight network technology … of deep learning and the necessity of lightweight
network technology. Then, According to the existing technology, the methods of lightweight …

… In this paper, we have proposed a lightweight deep learning based INES method for the IIoT
… In the future, we will combine federated learning [43] to solve the problem of weak system …