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

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

8 March 2021
Yoshitomo Matsubara
Marco Levorato
Francesco Restuccia
ArXivPDFHTML

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

24 / 24 papers shown
Title
LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks
LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks
A. Hojjat
Janek Haberer
Tayyaba Zainab
Olaf Landsiedel
35
3
0
18 Apr 2025
Towards Understanding How Knowledge Evolves in Large Vision-Language Models
Towards Understanding How Knowledge Evolves in Large Vision-Language Models
Sudong Wang
Y. Zhang
Yao Zhu
Jianing Li
Zizhe Wang
Y. Liu
Xiangyang Ji
69
0
0
31 Mar 2025
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Guanqiao Qu
Qiyuan Chen
Wei Wei
Zheng Lin
Xianhao Chen
Kaibin Huang
35
41
0
09 Jul 2024
NaviSlim: Adaptive Context-Aware Navigation and Sensing via Dynamic
  Slimmable Networks
NaviSlim: Adaptive Context-Aware Navigation and Sensing via Dynamic Slimmable Networks
Timothy K Johnsen
Marco Levorato
31
1
0
16 May 2024
FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression
FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression
Alireza Furutanpey
Qiyang Zhang
Philipp Raith
Tobias Pfandzelter
Shangguang Wang
Schahram Dustdar
88
4
0
25 Mar 2024
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance
Jaskirat Singh
Emad Fallahzadeh
Bram Adams
Ahmed E. Hassan
MQ
32
3
0
25 Mar 2024
Adaptive Early Exiting for Collaborative Inference over Noisy Wireless
  Channels
Adaptive Early Exiting for Collaborative Inference over Noisy Wireless Channels
Mikolaj Jankowski
Deniz Gunduz
K. Mikolajczyk
11
3
0
29 Nov 2023
$Λ$-Split: A Privacy-Preserving Split Computing Framework for
  Cloud-Powered Generative AI
ΛΛΛ-Split: A Privacy-Preserving Split Computing Framework for Cloud-Powered Generative AI
Shoki Ohta
Takayuki Nishio
62
4
0
23 Oct 2023
Salted Inference: Enhancing Privacy while Maintaining Efficiency of
  Split Inference in Mobile Computing
Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing
Mohammad Malekzadeh
F. Kawsar
FedML
20
5
0
20 Oct 2023
Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks
  via Aggregated Early Exits
Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks via Aggregated Early Exits
Simone Sarti
Eugenio Lomurno
Matteo Matteucci
6
4
0
28 Jan 2023
I-SPLIT: Deep Network Interpretability for Split Computing
I-SPLIT: Deep Network Interpretability for Split Computing
Federico Cunico
Luigi Capogrosso
Francesco Setti
D. Carra
Franco Fummi
Marco Cristani
22
14
0
23 Sep 2022
Dynamic Split Computing for Efficient Deep Edge Intelligence
Dynamic Split Computing for Efficient Deep Edge Intelligence
Arian Bakhtiarnia
Nemanja Milošević
Qi Zhang
Dragana Bajović
Alexandros Iosifidis
17
24
0
23 May 2022
SplitNets: Designing Neural Architectures for Efficient Distributed
  Computing on Head-Mounted Systems
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
13
20
0
10 Apr 2022
Update Compression for Deep Neural Networks on the Edge
Update Compression for Deep Neural Networks on the Edge
Bo Chen
A. Bakhshi
Gustavo E. A. P. A. Batista
Brian Ng
Tat-Jun Chin
14
17
0
09 Mar 2022
Spatio-Temporal Split Learning for Autonomous Aerial Surveillance using
  Urban Air Mobility (UAM) Networks
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
14
3
0
15 Nov 2021
Will this Question be Answered? Question Filtering via Answer Model
  Distillation for Efficient Question Answering
Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering
Siddhant Garg
Alessandro Moschitti
27
26
0
14 Sep 2021
Single-Training Collaborative Object Detectors Adaptive to Bandwidth and
  Computation
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
Split Computing for Complex Object Detectors: Challenges and Preliminary Results
Yoshitomo Matsubara
Marco Levorato
31
24
0
27 Jul 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
294
6,943
0
20 Apr 2018
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile
  Applications
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
88
513
0
09 Apr 2018
Understanding Autoencoders with Information Theoretic Concepts
Understanding Autoencoders with Information Theoretic Concepts
Shujian Yu
José C. Príncipe
AI4CE
38
132
0
30 Mar 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
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
948
20,471
0
17 Apr 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,319
0
05 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,830
0
08 Jul 2016
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