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Communication-Efficient Federated Learning via Predictive Coding

Communication-Efficient Federated Learning via Predictive Coding

2 August 2021
Kai Yue
Richeng Jin
Chau-Wai Wong
H. Dai
    FedML
ArXivPDFHTML

Papers citing "Communication-Efficient Federated Learning via Predictive Coding"

10 / 10 papers shown
Title
Federated Learning with Compression: Unified Analysis and Sharp
  Guarantees
Federated Learning with Compression: Unified Analysis and Sharp Guarantees
Farzin Haddadpour
Mohammad Mahdi Kamani
Aryan Mokhtari
M. Mahdavi
FedML
61
275
0
02 Jul 2020
UVeQFed: Universal Vector Quantization for Federated Learning
UVeQFed: Universal Vector Quantization for Federated Learning
Nir Shlezinger
Mingzhe Chen
Yonina C. Eldar
H. Vincent Poor
Shuguang Cui
FedML
MQ
49
225
0
05 Jun 2020
Measuring the Effects of Non-Identical Data Distribution for Federated
  Visual Classification
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
T. Hsu
Qi
Matthew Brown
FedML
111
1,128
0
13 Sep 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data
Robust and Communication-Efficient Federated Learning from Non-IID Data
Felix Sattler
Simon Wiedemann
K. Müller
Wojciech Samek
FedML
47
1,343
0
07 Mar 2019
Cooperative SGD: A unified Framework for the Design and Analysis of
  Communication-Efficient SGD Algorithms
Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms
Jianyu Wang
Gauri Joshi
103
348
0
22 Aug 2018
Local SGD Converges Fast and Communicates Little
Local SGD Converges Fast and Communicates Little
Sebastian U. Stich
FedML
154
1,056
0
24 May 2018
Deep Gradient Compression: Reducing the Communication Bandwidth for
  Distributed Training
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
Chengyue Wu
Song Han
Huizi Mao
Yu Wang
W. Dally
107
1,399
0
05 Dec 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
182
8,807
0
25 Aug 2017
A Variational Analysis of Stochastic Gradient Algorithms
A Variational Analysis of Stochastic Gradient Algorithms
Stephan Mandt
Matthew D. Hoffman
David M. Blei
44
157
0
08 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
210
18,534
0
06 Feb 2015
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