ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1812.06426
  4. Cited By
Auto-tuning Neural Network Quantization Framework for Collaborative
  Inference Between the Cloud and Edge

Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge

16 December 2018
Guangli Li
Lei Liu
Xueying Wang
Xiao-jun Dong
Peng Zhao
Xiaobing Feng
    MQ
ArXivPDFHTML

Papers citing "Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge"

16 / 16 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
41
3
0
18 Apr 2025
DCentNet: Decentralized Multistage Biomedical Signal Classification using Early Exits
DCentNet: Decentralized Multistage Biomedical Signal Classification using Early Exits
Xiaolin Li
Binhua Huang
B. Cardiff
Deepu John
41
0
0
31 Jan 2025
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
43
0
0
01 Nov 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
40
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
35
14
0
23 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
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
27
432
0
19 Jul 2022
Romanus: Robust Task Offloading in Modular Multi-Sensor Autonomous
  Driving Systems
Romanus: Robust Task Offloading in Modular Multi-Sensor Autonomous Driving Systems
Luke Chen
Mohanad Odema
Mohammad Abdullah Al Faruque
27
4
0
18 Jul 2022
Distributed Training for Deep Learning Models On An Edge Computing
  Network Using ShieldedReinforcement Learning
Distributed Training for Deep Learning Models On An Edge Computing Network Using ShieldedReinforcement Learning
Tanmoy Sen
Haiying Shen
OffRL
11
5
0
01 Jun 2022
Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate
  Feature Compression and Edge Learning
Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning
Zhiwei Hao
Guanyu Xu
Yong Luo
Han Hu
Jianping An
Shiwen Mao
24
22
0
24 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
26
20
0
10 Apr 2022
Pervasive AI for IoT applications: A Survey on Resource-efficient
  Distributed Artificial Intelligence
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
Emna Baccour
N. Mhaisen
A. Abdellatif
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
28
86
0
04 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
33
199
0
08 Mar 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
46
24
0
27 Jul 2020
Edge Intelligence: The Confluence of Edge Computing and Artificial
  Intelligence
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
Shuiguang Deng
Hailiang Zhao
Weijia Fang
Jianwei Yin
Schahram Dustdar
Albert Y. Zomaya
74
605
0
02 Sep 2019
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
337
1,049
0
10 Feb 2017
1