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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"

50 / 69 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
39
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
Yuyao Zhang
Yao Zhu
Jianing Li
Zizhe Wang
Yi Liu
Xiangyang Ji
137
0
0
31 Mar 2025
Optimization of Layer Skipping and Frequency Scaling for Convolutional Neural Networks under Latency Constraint
Optimization of Layer Skipping and Frequency Scaling for Convolutional Neural Networks under Latency Constraint
Minh David Thao Chan
Ruoyu Zhao
Yukuan Jia
Ruiqing Mao
Sheng Zhou
49
0
0
31 Mar 2025
Unlocking Visual Secrets: Inverting Features with Diffusion Priors for
  Image Reconstruction
Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction
Sai Qian Zhang
Ziyun Li
Chuan Guo
Saeed Mahloujifar
Deeksha Dangwal
Edward Suh
B. D. Salvo
Chiao Liu
DiffM
85
0
0
11 Dec 2024
Energy-Aware Dynamic Neural Inference
Energy-Aware Dynamic Neural Inference
Marcello Bullo
Seifallah Jardak
P. Carnelli
Deniz Gündüz
27
0
0
04 Nov 2024
Optimizing Edge Offloading Decisions for Object Detection
Optimizing Edge Offloading Decisions for Object Detection
Jiaming Qiu
Ruiqi Wang
Brooks Hu
Roch Guérin
Chenyang Lu
OffRL
24
0
0
24 Oct 2024
Resource-Efficient Sensor Fusion via System-Wide Dynamic Gated Neural
  Networks
Resource-Efficient Sensor Fusion via System-Wide Dynamic Gated Neural Networks
Chetna Singhal
Yashuo Wu
F. Malandrino
Sharon Ladron de Guevara Contreras
Marco Levorato
C. Chiasserini
29
2
0
22 Oct 2024
EdgeRL: Reinforcement Learning-driven Deep Learning Model Inference
  Optimization at Edge
EdgeRL: Reinforcement Learning-driven Deep Learning Model Inference Optimization at Edge
Motahare Mounesan
Xiaojie Zhang
S. Debroy
21
1
0
16 Oct 2024
Distributed Inference on Mobile Edge and Cloud: An Early Exit based
  Clustering Approach
Distributed Inference on Mobile Edge and Cloud: An Early Exit based Clustering Approach
Divya J. Bajpai
M. Hanawal
FedML
30
0
0
06 Oct 2024
Enhancing Split Computing and Early Exit Applications through Predefined
  Sparsity
Enhancing Split Computing and Early Exit Applications through Predefined Sparsity
Luigi Capogrosso
Enrico Fraccaroli
Giulio Petrozziello
Francesco Setti
Samarjit Chakraborty
Franco Fummi
Marco Cristani
30
3
0
16 Jul 2024
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
42
43
0
09 Jul 2024
MTL-Split: Multi-Task Learning for Edge Devices using Split Computing
MTL-Split: Multi-Task Learning for Edge Devices using Split Computing
Luigi Capogrosso
Enrico Fraccaroli
Samarjit Chakraborty
Franco Fummi
Marco Cristani
MoE
36
5
0
08 Jul 2024
NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed
  Autonomous Navigation
NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation
Timothy K Johnsen
Ian Harshbarger
Zixia Xia
Marco Levorato
25
1
0
18 Jun 2024
Federating Dynamic Models using Early-Exit Architectures for Automatic
  Speech Recognition on Heterogeneous Clients
Federating Dynamic Models using Early-Exit Architectures for Automatic Speech Recognition on Heterogeneous Clients
Mohamed Nabih Ali
A. Brutti
Daniele Falavigna
39
0
0
27 May 2024
Multimodal Adaptive Inference for Document Image Classification with
  Anytime Early Exiting
Multimodal Adaptive Inference for Document Image Classification with Anytime Early Exiting
Omar Hamed
Souhail Bakkali
Marie-Francine Moens
Matthew Blaschko
Jordy Van Landeghem
27
1
0
21 May 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
Compressive Feature Selection for Remote Visual Multi-Task Inference
Compressive Feature Selection for Remote Visual Multi-Task Inference
Saeed Ranjbar Alvar
Ivan V. Bajić
25
0
0
15 May 2024
Lightweight Inference for Forward-Forward Algorithm
Lightweight Inference for Forward-Forward Algorithm
Amin Aminifar
Baichuan Huang
Azra Abtahi
Amir Aminifar
35
3
0
08 Apr 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
34
3
0
25 Mar 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
90
4
0
25 Mar 2024
Conditional computation in neural networks: principles and research
  trends
Conditional computation in neural networks: principles and research trends
Simone Scardapane
Alessandro Baiocchi
Alessio Devoto
V. Marsocci
Pasquale Minervini
Jary Pomponi
34
1
0
12 Mar 2024
Resilience of Entropy Model in Distributed Neural Networks
Resilience of Entropy Model in Distributed Neural Networks
Milin Zhang
Mohammad Abdi
Shahriar Rifat
Francesco Restuccia
AAML
32
0
0
01 Mar 2024
SAE: Single Architecture Ensemble Neural Networks
SAE: Single Architecture Ensemble Neural Networks
Martin Ferianc
Hongxiang Fan
Miguel R. D. Rodrigues
UQCV
15
0
0
09 Feb 2024
Dynamic Semantic Compression for CNN Inference in Multi-access Edge
  Computing: A Graph Reinforcement Learning-based Autoencoder
Dynamic Semantic Compression for CNN Inference in Multi-access Edge Computing: A Graph Reinforcement Learning-based Autoencoder
Nana Li
Alexandros Iosifidis
Qi Zhang
30
2
0
19 Jan 2024
I-SplitEE: Image classification in Split Computing DNNs with Early Exits
I-SplitEE: Image classification in Split Computing DNNs with Early Exits
Divya J. Bajpai
Aastha Jaiswal
M. Hanawal
20
5
0
19 Jan 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
24
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
27
5
0
20 Oct 2023
Faster and Accurate Neural Networks with Semantic Inference
Faster and Accurate Neural Networks with Semantic Inference
Sazzad Sayyed
Jonathan D. Ashdown
Francesco Restuccia
28
0
0
02 Oct 2023
SplitEE: Early Exit in Deep Neural Networks with Split Computing
SplitEE: Early Exit in Deep Neural Networks with Split Computing
Divya J. Bajpai
Vivek K. Trivedi
S. L. Yadav
M. Hanawal
28
5
0
17 Sep 2023
Efficient Single Object Detection on Image Patches with Early Exit
  Enhanced High-Precision CNNs
Efficient Single Object Detection on Image Patches with Early Exit Enhanced High-Precision CNNs
Arne Moos
20
0
0
07 Sep 2023
Dynamic Early Exiting Predictive Coding Neural Networks
Dynamic Early Exiting Predictive Coding Neural Networks
Alaa Zniber
Ouassim Karrakchou
Mounir Ghogho
19
0
0
05 Sep 2023
Split Unlearning
Split Unlearning
Guangsheng Yu
Xu Wang
Caijun Sun
Xu Wang
Baihe Ma
Caijun Sun
Wei Ni
Ren Ping Liu
MU
11
0
0
21 Aug 2023
Slimmable Encoders for Flexible Split DNNs in Bandwidth and Resource
  Constrained IoT Systems
Slimmable Encoders for Flexible Split DNNs in Bandwidth and Resource Constrained IoT Systems
Juliano S. Assine
José Cândido Silveira Santos Filho
Eduardo Valle
Marco Levorato
24
2
0
22 Jun 2023
Towards Anytime Classification in Early-Exit Architectures by Enforcing
  Conditional Monotonicity
Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity
Metod Jazbec
J. Allingham
Dan Zhang
Eric T. Nalisnick
18
11
0
05 Jun 2023
Sustainable Edge Intelligence Through Energy-Aware Early Exiting
Sustainable Edge Intelligence Through Energy-Aware Early Exiting
Marcello Bullo
Seifallah Jardak
P. Carnelli
Deniz Gündüz
21
6
0
23 May 2023
Architectural Vision for Quantum Computing in the Edge-Cloud Continuum
Architectural Vision for Quantum Computing in the Edge-Cloud Continuum
Alireza Furutanpey
Johanna Barzen
Marvin Bechtold
Schahram Dustdar
F. Leymann
Philipp Raith
Felix Truger
9
20
0
09 May 2023
Split-Et-Impera: A Framework for the Design of Distributed Deep Learning
  Applications
Split-Et-Impera: A Framework for the Design of Distributed Deep Learning Applications
Luigi Capogrosso
Federico Cunico
M. Lora
Marco Cristani
Franco Fummi
D. Quaglia
MoE
15
5
0
22 Mar 2023
FrankenSplit: Efficient Neural Feature Compression with Shallow
  Variational Bottleneck Injection for Mobile Edge Computing
FrankenSplit: Efficient Neural Feature Compression with Shallow Variational Bottleneck Injection for Mobile Edge Computing
Alireza Furutanpey
Philipp Raith
Schahram Dustdar
73
7
0
21 Feb 2023
Divide and Save: Splitting Workload Among Containers in an Edge Device
  to Save Energy and Time
Divide and Save: Splitting Workload Among Containers in an Edge Device to Save Energy and Time
A. Khoshsirat
Giovanni Perin
M. Rossi
20
4
0
13 Feb 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
19
4
0
28 Jan 2023
Privacy and Efficiency of Communications in Federated Split Learning
Privacy and Efficiency of Communications in Federated Split Learning
Zongshun Zhang
Andrea Pinto
Valeria Turina
Flavio Esposito
I. Matta
FedML
35
32
0
04 Jan 2023
Energy Consumption of Neural Networks on NVIDIA Edge Boards: an
  Empirical Model
Energy Consumption of Neural Networks on NVIDIA Edge Boards: an Empirical Model
Seyyidahmed Lahmer
A. Khoshsirat
M. Rossi
Andrea Zanella
8
11
0
04 Oct 2022
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
27
14
0
23 Sep 2022
Improving the Performance of DNN-based Software Services using Automated
  Layer Caching
Improving the Performance of DNN-based Software Services using Automated Layer Caching
M. Abedi
Yanni Iouannou
Pooyan Jamshidi
Hadi Hemmati
22
0
0
18 Sep 2022
Neural Architecture Search for Improving Latency-Accuracy Trade-off in
  Split Computing
Neural Architecture Search for Improving Latency-Accuracy Trade-off in Split Computing
Shoma Shimizu
Takayuki Nishio
Shota Saito
Yoichi Hirose
Yen-Hsiu Chen
Shinichi Shirakawa
34
3
0
30 Aug 2022
Efficient High-Resolution Deep Learning: A Survey
Efficient High-Resolution Deep Learning: A Survey
Arian Bakhtiarnia
Qi Zhang
Alexandros Iosifidis
MedIm
21
19
0
26 Jul 2022
Resource-Constrained Edge AI with Early Exit Prediction
Resource-Constrained Edge AI with Early Exit Prediction
Rongkang Dong
Yuyi Mao
Jinchao Zhang
14
13
0
15 Jun 2022
Binarizing Split Learning for Data Privacy Enhancement and Computation
  Reduction
Binarizing Split Learning for Data Privacy Enhancement and Computation Reduction
Ngoc Duy Pham
A. Abuadbba
Yansong Gao
K. Phan
Naveen Chilamkurti
16
34
0
10 Jun 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
20
24
0
23 May 2022
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