EdgeNAS: discovering efficient neural architectures for edge systems

• Main Authors: Luo, Xiangzhong, Liu, Di, Kong, Hao, Liu, Weichen
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Neural Architecture Search; Edge Systems
• Online Access: https://hdl.handle.net/10356/165560
• Institution: Nanyang Technological University

Edge systems integrated with deep neural networks (DNNs) are deemed to pave the way for future artificial intelligence (AI). However, designing accurate and efficient DNNs for resource-limited edge systems is challenging as well as requires a huge amount of engineering efforts from human experts sin...