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2108.11898
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Supervised Compression for Resource-Constrained Edge Computing Systems
21 August 2021
Yoshitomo Matsubara
Ruihan Yang
Marco Levorato
Stephan Mandt
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Papers citing
"Supervised Compression for Resource-Constrained Edge Computing Systems"
24 / 24 papers shown
Title
Lossy Neural Compression for Geospatial Analytics: A Review
Carlos Gomes
Isabelle Wittmann
Damien Robert
Johannes Jakubik
Tim Reichelt
...
Romeo Kienzler
Rania Briq
Sabrina Benassou
Michele Lazzarini
C. Albrecht
90
2
0
03 Mar 2025
Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies
Xubin Wang
Weijia Jia
36
0
0
08 Jan 2025
On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance
Jaskirat Singh
Bram Adams
Ahmed E. Hassan
VLM
43
0
0
01 Nov 2024
Bridging Compressed Image Latents and Multimodal Large Language Models
Chia-Hao Kao
Cheng Chien
Yu-Jen Tseng
Yi-Hsin Chen
Alessandro Gnutti
Shao-Yuan Lo
Wen-Hsiao Peng
Riccardo Leonardi
42
0
0
29 Jul 2024
Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding
Danish Nazir
Timo Bartels
Jan Piewek
Thorsten Bagdonat
Tim Fingscheidt
35
0
0
15 Jul 2024
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
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
Resilience of Entropy Model in Distributed Neural Networks
Milin Zhang
Mohammad Abdi
Shahriar Rifat
Francesco Restuccia
AAML
27
0
0
01 Mar 2024
Generative Visual Compression: A Review
Bo Chen
Shanzhi Yin
Peilin Chen
Shiqi Wang
Yan Ye
32
8
0
03 Feb 2024
Progressive Neural Compression for Adaptive Image Offloading under Timing Constraints
Ruiqi Wang
Hanyang Liu
Jiaming Qiu
Moran Xu
Roch Guérin
Chenyang Lu
11
3
0
08 Oct 2023
Learned Point Cloud Compression for Classification
Mateen Ulhaq
Ivan V. Bajić
17
8
0
11 Aug 2023
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
19
2
0
22 Jun 2023
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
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models
Matthew Muckley
Alaaeldin El-Nouby
Karen Ullrich
Hervé Jégou
Jakob Verbeek
19
45
0
26 Jan 2023
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
Cheng-Yen Hsieh
Yu-Chuan Chuang
An-Yeu
A. Wu
21
7
0
25 Jul 2022
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
27
432
0
19 Jul 2022
Fault-Tolerant Collaborative Inference through the Edge-PRUNE Framework
Jani Boutellier
Bo Tan
J. Nurmi
16
2
0
16 Jun 2022
Feature Compression for Rate Constrained Object Detection on the Edge
Zhongzheng Yuan
Samyak Rawlekar
S. Garg
E. Erkip
Yao Wang
10
12
0
15 Apr 2022
SC2 Benchmark: Supervised Compression for Split Computing
Yoshitomo Matsubara
Ruihan Yang
Marco Levorato
Stephan Mandt
14
18
0
16 Mar 2022
An Introduction to Neural Data Compression
Yibo Yang
Stephan Mandt
Lucas Theis
22
115
0
14 Feb 2022
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
Yoshitomo Matsubara
Marco Levorato
Francesco Restuccia
22
199
0
08 Mar 2021
End-to-end Learning of Compressible Features
Saurabh Singh
Sami Abu-El-Haija
Nick Johnston
Johannes Ballé
Abhinav Shrivastava
G. Toderici
SSL
94
71
0
23 Jul 2020
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