ResearchTrend.AI
Model Pruning Enables Efficient Federated Learning on Edge Devices
v1v2v3v4v5 (latest)

Model Pruning Enables Efficient Federated Learning on Edge Devices

Yuang Jiang
Shiqiang Wang
Victor Valls
Bongjun Ko
Wei-Han Lee
Kin K. Leung
Leandros Tassiulas
ArXiv (abs)PDFHTML

Papers citing "Model Pruning Enables Efficient Federated Learning on Edge Devices"

3 / 53 papers shown
Title
Deep Learning with Limited Numerical Precision
Deep Learning with Limited Numerical Precision
Suyog Gupta
A. Agrawal
K. Gopalakrishnan
P. Narayanan
HAI
207
2,049
0
09 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,479
0
04 Sep 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions
Speeding up Convolutional Neural Networks with Low Rank Expansions
Max Jaderberg
Andrea Vedaldi
Andrew Zisserman
130
1,465
0
15 May 2014

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.