EdgeCompress: coupling multi-dimensional model compression and dynamic inference for EdgeAI

• المؤلفون الرئيسيون: Kong, Hao, Liu, Di, Huai, Shuo, Luo, Xiangzhong, Subramaniam, Ravi, Makaya, Christian, Lin, Qian, Liu, Weichen
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Computer science and engineering; Embedded Systems; Neural Network Compression
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/171623
• المؤسسة: Nanyang Technological University

Convolutional neural networks (CNNs) have demonstrated encouraging results in image classification tasks. However, the prohibitive computational cost of CNNs hinders the deployment of CNNs onto resource-constrained embedded devices. To address this issue, we propose, a comprehensive compression fram...