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Approximate Wireless Communication for Federated Learning

Approximate Wireless Communication for Federated Learning

6 April 2023
Xiang Ma
Haijian Sun
R. Hu
Y. Qian
ArXiv (abs)PDFHTML

Papers citing "Approximate Wireless Communication for Federated Learning"

7 / 7 papers shown
Title
Federated Learning with Erroneous Communication Links
Federated Learning with Erroneous Communication Links
M. Shirvanimoghaddam
Ayoob Salari
Yifeng Gao
Aradhika Guha
FedML
124
15
0
31 Jan 2022
Activation Functions: Comparison of trends in Practice and Research for
  Deep Learning
Activation Functions: Comparison of trends in Practice and Research for Deep Learning
S. Bodenstedt
Dominik Rivoir
A. Gachagan
S. T. Mees
98
1,279
0
08 Nov 2018
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep
  Learning
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
W. Wen
Cong Xu
Feng Yan
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
163
990
0
22 May 2017
Sparse Communication for Distributed Gradient Descent
Sparse Communication for Distributed Gradient Descent
Alham Fikri Aji
Kenneth Heafield
76
741
0
17 Apr 2017
Federated Learning: Strategies for Improving Communication Efficiency
Federated Learning: Strategies for Improving Communication Efficiency
Jakub Konecný
H. B. McMahan
Felix X. Yu
Peter Richtárik
A. Suresh
Dave Bacon
FedML
309
4,655
0
18 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
408
17,593
0
17 Feb 2016
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
338
18,651
0
06 Feb 2015
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