Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing

4 October 2019

Xu Chen

Papers citing "Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing"

50 / 138 papers shown

Title
Graft: Efficient Inference Serving for Hybrid Deep Learning with SLO Guarantees via DNN Re-alignment Jing Wu Lin Wang Qirui Jin Fangming Liu 64 13 0 17 Dec 2023
Towards A Flexible Accuracy-Oriented Deep Learning Module Inference Latency Prediction Framework for Adaptive Optimization Algorithms Jingran Shen Nikos Tziritas Georgios Theodoropoulos 54 0 0 11 Dec 2023
Green Edge AI: A Contemporary Survey Yuyi Mao X. Yu Kaibin Huang Ying-Jun Angela Zhang Jun Zhang 127 21 0 01 Dec 2023
User-guided Page Merging for Memory Deduplication in Serverless Systems Wei Qiu Marcin Copik Yun Wang A. Calotoiu Torsten Hoefler 62 4 0 22 Nov 2023
Collaborative Inference in DNN-based Satellite Systems with Dynamic Task Streams Jinglong Guan Qiyang Zhang Ilir Murturi Praveen Kumar Donta Schahram Dustdar Shangguang Wang 65 3 0 10 Nov 2023
AdaMEC: Towards a Context-Adaptive and Dynamically-Combinable DNN Deployment Framework for Mobile Edge Computing Bowen Pang Sicong Liu Hongli Wang Bin Guo Yuzhan Wang Hao Wang Zhenli Sheng Zhongyi Wang Zhiwen Yu 67 3 0 25 Oct 2023
Accelerating Split Federated Learning over Wireless Communication Networks Ce Xu Jinxuan Li Yuan Liu Yushi Ling Miaowen Wen FedML 66 26 0 24 Oct 2023
End-to-End Delay Minimization based on Joint Optimization of DNN Partitioning and Resource Allocation for Cooperative Edge Inference Xinrui Ye Yanzan Sun Dingzhu Wen Guangjin Pan Shunqing Zhang 104 3 0 19 Oct 2023
Joint Task Scheduling and Container Image Caching in Edge Computing Fangyi Mou Zhiqing Tang Jiong Lou Jianxiong Guo Wenhua Wang Tian-sheng Wang 18 0 0 01 Oct 2023
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey Sicong Liu Bin Guo Cheng Fang Ziqi Wang Shiyan Luo Zimu Zhou Zhiwen Yu AI4CE 88 23 0 27 Sep 2023
SplitEE: Early Exit in Deep Neural Networks with Split Computing Divya J. Bajpai Vivek K. Trivedi S. L. Yadav M. Hanawal 75 7 0 17 Sep 2023
Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative Inference Framework for Deep Learning Classification Tasks Jingyi Li Guocheng Liao Lin Chen Xu Chen 73 9 0 06 Sep 2023
Efficient Semi-Supervised Federated Learning for Heterogeneous Participants Zhipeng Sun Yang Xu Hong-Ze Xu Liusheng Huang C. Qiao FedML 73 0 0 29 Jul 2023
Efficient Multiuser AI Downloading via Reusable Knowledge Broadcasting Hai Wu Qunsong Zeng Kaibin Huang 104 8 0 28 Jul 2023
Serving Graph Neural Networks With Distributed Fog Servers For Smart IoT Services Liekang Zeng Xu Chen Peng Huang Ke Luo Xiaoxi Zhang Zhi Zhou GNN 68 6 0 04 Jul 2023
Are Large Kernels Better Teachers than Transformers for ConvNets? Tianjin Huang Lu Yin Zhenyu Zhang Lijuan Shen Meng Fang Mykola Pechenizkiy Zhangyang Wang Shiwei Liu 90 13 0 30 May 2023
Dynamic Sparse Training with Structured Sparsity Mike Lasby A. Golubeva Utku Evci Mihai Nica Yani Andrew Ioannou 165 22 0 03 May 2023
The Case for Hierarchical Deep Learning Inference at the Network Edge Ghina Al-Atat Andrea Fresa Adarsh Prasad Behera Vishnu Narayanan Moothedath James Gross J. Champati 71 8 0 23 Apr 2023
Towards Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets Huirong Ma Zhi Zhou Xiaoxi Zhang Xu Chen 72 12 0 22 Apr 2023
Online Algorithms for Hierarchical Inference in Deep Learning applications at the Edge Vishnu Narayanan Moothedath J. Champati J. Gross 98 9 0 03 Apr 2023
Choose Your Weapon: Survival Strategies for Depressed AI Academics Julian Togelius Georgios N. Yannakakis 71 17 0 31 Mar 2023
A Contrastive Knowledge Transfer Framework for Model Compression and Transfer Learning Kaiqi Zhao Yitao Chen Ming Zhao VLM 25 2 0 14 Mar 2023
Holistic Network Virtualization and Pervasive Network Intelligence for 6G Xuemin Shen Shen Jie Gao Wen Wu Mushu Li Conghao Zhou W. Zhuang 101 238 0 02 Jan 2023
Accuracy-Guaranteed Collaborative DNN Inference in Industrial IoT via Deep Reinforcement Learning Wen Wu Peng Yang Weiting Zhang Conghao Zhou Xuemin X. Shen 122 108 0 31 Dec 2022
Privacy-preserving Security Inference Towards Cloud-Edge Collaborative Using Differential Privacy Yulong Wang Xingshu Chen Qixu Wang FedML 61 4 0 13 Dec 2022
Attention-based Feature Compression for CNN Inference Offloading in Edge Computing Nana Li Alexandros Iosifidis Qi Zhang 53 9 0 24 Nov 2022
Enabling AI Quality Control via Feature Hierarchical Edge Inference Jinhyuk Choi Seongun Kim Seung-Woo Ko 43 0 0 15 Nov 2022
Task-Oriented Over-the-Air Computation for Multi-Device Edge AI Dingzhu Wen Xiang Jiao Peixi Liu Guangxu Zhu Yuanming Shi Kaibin Huang 114 39 0 02 Nov 2022
GNN at the Edge: Cost-Efficient Graph Neural Network Processing over Distributed Edge Servers Liekang Zeng Chong Yang Peng Huang Zhi Zhou Shuai Yu Xu Chen GNN 95 29 0 31 Oct 2022
Unlocking the potential of two-point cells for energy-efficient and resilient training of deep nets Ahsan Adeel A. Adetomi K. Ahmed Amir Hussain T. Arslan William A. Phillips 120 13 0 24 Oct 2022
EdgeFaaS: A Function-based Framework for Edge Computing Runyu Jin Qirui Yang 50 2 0 04 Oct 2022
InFi: End-to-End Learning to Filter Input for Resource-Efficiency in Mobile-Centric Inference Mu Yuan Lan Zhang Fengxiang He Xueting Tong Miao-Hui Song Zhengyuan Xu Xiang-Yang Li 49 2 0 28 Sep 2022
Device-friendly Guava fruit and leaf disease detection using deep learning R. N. Nandi Aminul Haque Palash N. Siddique Mohammed Golam Zilani 22 7 0 26 Sep 2022
Unsupervised Early Exit in DNNs with Multiple Exits U. HariNarayanN M. Hanawal Avinash Bhardwaj 63 11 0 20 Sep 2022
Predictive GAN-powered Multi-Objective Optimization for Hybrid Federated Split Learning Benshun Yin Zhiyong Chen M. Tao FedML 104 25 0 02 Sep 2022
Complexity-Driven CNN Compression for Resource-constrained Edge AI Muhammad Zawish Steven Davy L. Abraham 86 16 0 26 Aug 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions A. Rauniyar D. Hagos Debesh Jha J. E. Haakegaard Ulas Bagci D. Rawat Vladimir Vlassov OOD 155 105 0 05 Aug 2022
AI Augmented Edge and Fog Computing: Trends and Challenges Shreshth Tuli Fatemeh Mirhakimi Samodha Pallewatta Syed Zawad G. Casale B. Javadi Feng Yan Rajkumar Buyya N. Jennings 65 59 0 01 Aug 2022
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances Baolin Li Rohan Basu Roy Tirthak Patel V. Gadepally K. Gettings Devesh Tiwari 55 25 0 23 Jul 2022
A Survey on Collaborative DNN Inference for Edge Intelligence Weiqing Ren Yuben Qu Chao Dong Yuqian Jing Hao Sun Qihui Wu Song Guo 85 54 0 16 Jul 2022
EVE: Environmental Adaptive Neural Network Models for Low-power Energy Harvesting System Sahidul Islam Shangli Zhou Ran Ran Yufang Jin Wu-Shao Wen Caiwen Ding Mimi Xie 83 9 0 14 Jul 2022
Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI Dingzhu Wen Peixi Liu Guangxu Zhu Yuanming Shi Jie Xu Yonina C. Eldar Shuguang Cui 75 117 0 03 Jul 2022
Resource-Constrained Edge AI with Early Exit Prediction Rongkang Dong Yuyi Mao Jinchao Zhang 52 15 0 15 Jun 2022
Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference Xiangjie Li Chen Lou Zhengping Zhu Yuchi Chen Yingtao Shen Yehan Ma An Zou 62 25 0 09 Jun 2022
Multi-user Co-inference with Batch Processing Capable Edge Server Wenqi Shi Sheng Zhou Z. Niu Miao Jiang Lu Geng 111 26 0 03 Jun 2022
SplitPlace: AI Augmented Splitting and Placement of Large-Scale Neural Networks in Mobile Edge Environments Shreshth Tuli G. Casale N. Jennings 77 34 0 21 May 2022
Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review Daniel Rosendo Alexandru Costan P. Valduriez Gabriel Antoniu 62 86 0 29 Apr 2022
CONTINUER: Maintaining Distributed DNN Services During Edge Failures A. Majeed Peter Kilpatrick I. Spence Blesson Varghese 25 1 0 25 Apr 2022
C-NMT: A Collaborative Inference Framework for Neural Machine Translation Yukai Chen R. Chiaro Enrico Macii Massimo Poncino Daniele Jahier Pagliari 48 0 0 08 Apr 2022
Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection Bang Xiang Yong Alexandra Brintrup UQCV 59 26 0 25 Feb 2022