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Supervised Compression for Resource-Constrained Edge Computing Systems

Supervised Compression for Resource-Constrained Edge Computing Systems

21 August 2021
Yoshitomo Matsubara
Ruihan Yang
Marco Levorato
Stephan Mandt
ArXivPDFHTML

Papers citing "Supervised Compression for Resource-Constrained Edge Computing Systems"

10 / 10 papers shown
Title
On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance
On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance
Jaskirat Singh
Bram Adams
Ahmed E. Hassan
VLM
36
0
0
01 Nov 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
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
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
C3-SL: Circular Convolution-Based Batch-Wise Compression for
  Communication-Efficient Split Learning
C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning
Cheng-Yen Hsieh
Yu-Chuan Chuang
An-Yeu
A. Wu
18
7
0
25 Jul 2022
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented
  Communications
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications
Deniz Gunduz
Zhijin Qin
Iñaki Estella Aguerri
Harpreet S. Dhillon
Zhaohui Yang
Aylin Yener
Kai‐Kit Wong
C. Chae
16
432
0
19 Jul 2022
Fault-Tolerant Collaborative Inference through the Edge-PRUNE Framework
Fault-Tolerant Collaborative Inference through the Edge-PRUNE Framework
Jani Boutellier
Bo Tan
J. Nurmi
16
2
0
16 Jun 2022
BottleFit: Learning Compressed Representations in Deep Neural Networks
  for Effective and Efficient Split Computing
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing
Yoshitomo Matsubara
Davide Callegaro
Sameer Singh
Marco Levorato
Francesco Restuccia
19
41
0
07 Jan 2022
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
Yoshitomo Matsubara
Marco Levorato
Francesco Restuccia
22
199
0
08 Mar 2021
End-to-end Learning of Compressible Features
End-to-end Learning of Compressible Features
Saurabh Singh
Sami Abu-El-Haija
Nick Johnston
Johannes Ballé
Abhinav Shrivastava
G. Toderici
SSL
89
71
0
23 Jul 2020
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