JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution

25 December 2018

Papers citing "JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution"

23 / 23 papers shown

Title
Embedded Distributed Inference of Deep Neural Networks: A Systematic Review Federico Nicolás Peccia Oliver Bringmann 36 0 0 06 May 2024
Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence Xin Yuan Ning Li Kang Wei Wenchao Xu Quan Chen Hao Chen Song Guo 31 0 0 27 Dec 2023
Real-time Neural Network Inference on Extremely Weak Devices: Agile Offloading with Explainable AI Kai Huang Wei Gao 22 35 0 21 Dec 2023
A Survey on Deep Neural Network Partition over Cloud, Edge and End Devices Di Xu Xiang He Tonghua Su Zhongjie Wang 21 6 0 20 Apr 2023
Hierarchical Training of Deep Neural Networks Using Early Exiting Yamin Sepehri P. Pad A. C. Yüzügüler P. Frossard L. A. Dunbar 36 7 0 04 Mar 2023
Over-the-Air Split Machine Learning in Wireless MIMO Networks YuZhi Yang Zhaoyang Zhang Yuqing Tian Zhaohui Yang Chongwen Huang C. Zhong Kai‐Kit Wong 26 23 0 07 Oct 2022
C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning Cheng-Yen Hsieh Yu-Chuan Chuang An-Yeu A. Wu 31 7 0 25 Jul 2022
Towards Transmission-Friendly and Robust CNN Models over Cloud and Device Chuntao Ding Zhichao Lu F. Xu Vishnu Boddeti Yidong Li Jiannong Cao 24 14 0 20 Jul 2022
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications Deniz Gunduz Zhijin Qin Iñaki Estella Aguerri Harpreet S. Dhillon Zhaohui Yang Aylin Yener Kai‐Kit Wong C. Chae 27 433 0 19 Jul 2022
PICO: Pipeline Inference Framework for Versatile CNNs on Diverse Mobile Devices Xiang Yang Zikang Xu Q. Qi Jingyu Wang Haifeng Sun J. Liao Song Guo 21 11 0 17 Jun 2022
Fault-Tolerant Collaborative Inference through the Edge-PRUNE Framework Jani Boutellier Bo Tan J. Nurmi 24 2 0 16 Jun 2022
Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning Zhiwei Hao Guanyu Xu Yong Luo Han Hu Jianping An Shiwen Mao 32 22 0 24 May 2022
Edge-PRUNE: Flexible Distributed Deep Learning Inference Jani Boutellier Bo Tan J. Nurmi 18 2 0 27 Apr 2022
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision Rui Han Qinglong Zhang C. Liu Guoren Wang Jian Tang L. Chen 21 44 0 18 Dec 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence Emna Baccour N. Mhaisen A. Abdellatif A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 30 86 0 04 May 2021
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device Mario Almeida Stefanos Laskaridis Stylianos I. Venieris Ilias Leontiadis Nicholas D. Lane 17 36 0 20 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 38 401 0 05 Apr 2021
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach Jiawei Shao Yuyi Mao Jun Zhang 47 212 0 08 Feb 2021
DistPrivacy: Privacy-Aware Distributed Deep Neural Networks in IoT surveillance systems Emna Baccour A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 14 19 0 25 Oct 2020
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud Stefanos Laskaridis Stylianos I. Venieris Mario Almeida Ilias Leontiadis Nicholas D. Lane 28 265 0 14 Aug 2020
Joint Device-Edge Inference over Wireless Links with Pruning Mikolaj Jankowski Deniz Gunduz K. Mikolajczyk 17 5 0 04 Mar 2020
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing Zhi Zhou Xu Chen En Li Liekang Zeng Ke Luo Junshan Zhang 26 1,420 0 24 May 2019
NeuPart: Using Analytical Models to Drive Energy-Efficient Partitioning of CNN Computations on Cloud-Connected Mobile Clients Susmita Dey Manasi F. S. Snigdha S. Sapatnekar 34 16 0 09 May 2019