ZeroBN : learning compact neural networks for latency-critical edge systems

• Main Authors: Huai, Shuo, Zhang, Lei, Liu, Di, Liu, Weichen, Subramaniam, Ravi
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; ZeroBN; Compact Learning
• Online Access: https://hdl.handle.net/10356/155572
• Institution: Nanyang Technological University

Edge devices have been widely adopted to bring deep learning applications onto low power embedded systems, mitigating the privacy and latency issues of accessing cloud servers. The increasingly computational demand of complex neural network models leads to large latency on edge devices with limited...