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Lightweight compression of neural network feature tensors for
  collaborative intelligence

Lightweight compression of neural network feature tensors for collaborative intelligence

12 May 2021
R. Cohen
Hyomin Choi
Ivan V. Bajić
ArXivPDFHTML

Papers citing "Lightweight compression of neural network feature tensors for collaborative intelligence"

6 / 6 papers shown
Title
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
MetaMorphosis: Task-oriented Privacy Cognizant Feature Generation for
  Multi-task Learning
MetaMorphosis: Task-oriented Privacy Cognizant Feature Generation for Multi-task Learning
Md. Adnan Arefeen
Zhouyu Li
M. Y. S. Uddin
Anupam Das
27
0
0
13 May 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
27
14
0
23 Sep 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
21
20
0
10 Apr 2022
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 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
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