JALAD : joint accuracy- and latency-aware deep structure decoupling for edge-cloud execution

• Main Authors: Li, Hongshan, Hu, Chenghao, Jiang, Jingyan, Wang, Zhi, Wen, Yonggang, Zhu, Wenwu
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Edge Computing; Computation Off-loading
• Online Access: https://hdl.handle.net/10356/143195
• Institution: Nanyang Technological University

Recent years have witnessed a rapid growth of deep-network based services and applications. A practical and critical problem thus has emerged: how to effectively deploy the deep neural network models such that they can be executed efficiently. Conventional cloud-based approaches usually run the deep...