Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges

8 March 2021

Papers citing "Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges"

19 / 69 papers shown

Title
CONTINUER: Maintaining Distributed DNN Services During Edge Failures A. Majeed Peter Kilpatrick I. Spence Blesson Varghese 14 0 0 25 Apr 2022
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems Xin Dong B. D. Salvo Meng Li Chiao Liu Zhongnan Qu H. T. Kung Ziyun Li 3DGS 21 20 0 10 Apr 2022
SC2 Benchmark: Supervised Compression for Split Computing Yoshitomo Matsubara Ruihan Yang Marco Levorato Stephan Mandt 14 18 0 16 Mar 2022
Update Compression for Deep Neural Networks on the Edge Bo Chen A. Bakhshi Gustavo E. A. P. A. Batista Brian Ng Tat-Jun Chin 24 17 0 09 Mar 2022
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques JunKyu Lee L. Mukhanov A. S. Molahosseini U. Minhas Yang Hua Jesus Martinez del Rincon K. Dichev Cheol-Ho Hong Hans Vandierendonck 38 29 0 30 Dec 2021
Spatio-Temporal Split Learning for Autonomous Aerial Surveillance using Urban Air Mobility (UAM) Networks Yoo Jeong Ha Soyi Jung Jae-Hyun Kim Marco Levorato Joongheon Kim 21 3 0 15 Nov 2021
ParaDiS: Parallelly Distributable Slimmable Neural Networks A. Ozerov Anne Lambert S. Kumaraswamy UQCV MoE 35 1 0 06 Oct 2021
Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering Siddhant Garg Alessandro Moschitti 29 26 0 14 Sep 2021
Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks Xin Dong Hongxu Yin J. Álvarez Jan Kautz Pavlo Molchanov H. T. Kung MIACV 29 8 0 13 Jul 2021
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions Stefanos Laskaridis Alexandros Kouris Nicholas D. Lane TPM 18 107 0 09 Jun 2021
ScissionLite: Accelerating Distributed Deep Neural Networks Using Transfer Layer Hyunho Ahn Munkyu Lee Cheol-Ho Hong Blesson Varghese 20 5 0 05 May 2021
Single-Training Collaborative Object Detectors Adaptive to Bandwidth and Computation Juliano S. Assine José Cândido Silveira Santos Filho Eduardo Valle ObjD 42 8 0 03 May 2021
Split Computing for Complex Object Detectors: Challenges and Preliminary Results Yoshitomo Matsubara Marco Levorato 38 24 0 27 Jul 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,959 0 20 Apr 2018
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications Tien-Ju Yang Andrew G. Howard Bo Chen Xiao Zhang Alec Go Mark Sandler Vivienne Sze Hartwig Adam 90 515 0 09 Apr 2018
Understanding Autoencoders with Information Theoretic Concepts Shujian Yu José C. Príncipe AI4CE 49 132 0 30 Mar 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,567 0 17 Apr 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016