NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision

23 October 2018

Papers citing "NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision"

32 / 82 papers shown

Title
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions Stefanos Laskaridis Alexandros Kouris Nicholas D. Lane TPM 18 107 0 09 Jun 2021
OODIn: An Optimised On-Device Inference Framework for Heterogeneous Mobile Devices Stylianos I. Venieris Ioannis Panopoulos I. Venieris 40 14 0 08 Jun 2021
Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions Royson Lee Stylianos I. Venieris Nicholas D. Lane AI4TS 55 44 0 07 Jun 2021
Multi-Exit Semantic Segmentation Networks Alexandros Kouris Stylianos I. Venieris Stefanos Laskaridis Nicholas D. Lane 15 30 0 07 Jun 2021
Optimising Resource Management for Embedded Machine Learning Lei Xun Long Tran-Thanh Bashir M. Al-Hashimi G. Merrett 15 12 0 08 May 2021
Creating Robust Deep Neural Networks With Coded Distributed Computing for IoT Systems Ramyad Hadidi Jiashen Cao Hyesoon Kim 11 0 0 09 Apr 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 176 267 0 26 Feb 2021
Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks Minh N. H. Nguyen N. H. Tran Y. Tun Zhu Han C. Hong FedML 14 49 0 25 Nov 2020
Deep Neural Mobile Networking Chaoyun Zhang 32 1 0 23 Oct 2020
ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles Ran Xu Chen-Da Liu-Zhang Pengcheng Wang Jayoung Lee Subrata Mitra Somali Chaterji Yin Li S. Bagchi 16 58 0 21 Oct 2020
Deep Learning in the Era of Edge Computing: Challenges and Opportunities Mi Zhang Faen Zhang Nicholas D. Lane Yuanchao Shu Xiao Zeng Biyi Fang Shen Yan Hui Xu 9 41 0 17 Oct 2020
A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions Rahul Mishra Hari Prabhat Gupta Tanima Dutta 8 88 0 05 Oct 2020
AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers A. Wong M. Famouri M. Shafiee 16 20 0 30 Sep 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
Knowledge Distillation in Deep Learning and its Applications Abdolmaged Alkhulaifi Fahad Alsahli Irfan Ahmad FedML 12 76 0 17 Jul 2020
Joint Multi-User DNN Partitioning and Computational Resource Allocation for Collaborative Edge Intelligence Xin Tang Xu Chen Liekang Zeng Shuai Yu Lin Chen 6 91 0 15 Jul 2020
EDCompress: Energy-Aware Model Compression for Dataflows Zhehui Wang Tao Luo Joey Tianyi Zhou Rick Siow Mong Goh 31 2 0 08 Jun 2020
FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile Processors Jie Liu Jiawen Liu Zhen Xie Dong Li 17 5 0 03 Mar 2020
MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing Yu Zhang Tao Gu Xi Zhang FedML 14 21 0 07 Feb 2020
Learning to Prevent Leakage: Privacy-Preserving Inference in the Mobile Cloud Shuang Zhang Liyao Xiang Congcong Li Yixuan Wang Quanshi Zhang Zeyu Liu Bo-wen Li FedML 8 1 0 18 Dec 2019
On-Device Machine Learning: An Algorithms and Learning Theory Perspective Sauptik Dhar Junyao Guo Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 17 141 0 02 Nov 2019
ALERT: Accurate Learning for Energy and Timeliness Chengcheng Wan M. Santriaji E. Rogers H. Hoffmann Michael Maire Shan Lu AI4CE 32 40 0 31 Oct 2019
From Server-Based to Client-Based Machine Learning: A Comprehensive Survey Renjie Gu Chaoyue Niu Fan Wu Guihai Chen Chun Hu Chengfei Lyu Zhihua Wu 17 25 0 18 Sep 2019
Characterizing the Deep Neural Networks Inference Performance of Mobile Applications Samuel S. Ogden Tian Guo 16 17 0 10 Sep 2019
ApproxNet: Content and Contention-Aware Video Analytics System for Embedded Clients Xukan Ran Rakesh Kumar Pengcheng Wang Peter Bai Ganga Meghanath Somali Chaterji Subrata Mitra Saurabh Bagchi 11 18 0 28 Aug 2019
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey Xiaofei Wang Yiwen Han Victor C. M. Leung Dusit Niyato Xueqiang Yan Xu Chen 6 975 0 19 Jul 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing Zhi Zhou Xu Chen En Li Liekang Zeng Ke Luo Junshan Zhang 19 1,418 0 24 May 2019
Pruning-Aware Merging for Efficient Multitask Inference Xiaoxi He Dawei Gao Zimu Zhou Yongxin Tong Lothar Thiele MoMe 24 8 0 23 May 2019
AttoNets: Compact and Efficient Deep Neural Networks for the Edge via Human-Machine Collaborative Design A. Wong Z. Q. Lin Brendan Chwyl HAI 6 14 0 18 Mar 2019
ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Scale Samvit Jain Xun Zhang Yuhao Zhou Ganesh Ananthanarayanan Junchen Jiang Yuanchao Shu Joseph E. Gonzalez HAI 21 9 0 03 Nov 2018
Scaling Video Analytics Systems to Large Camera Deployments Samvit Jain Ganesh Ananthanarayanan Junchen Jiang Yuanchao Shu Joseph E. Gonzalez 24 72 0 07 Sep 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 30 1,303 0 12 Mar 2018