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

• المؤلفون الرئيسيون: Huai, Shuo, Zhang, Lei, Liu, Di, Liu, Weichen, Subramaniam, Ravi
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; ZeroBN; Compact Learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/155572
• المؤسسة: 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...