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On Randomized Distributed Coordinate Descent with Quantized Updates
v1v2 (latest)

On Randomized Distributed Coordinate Descent with Quantized Updates

18 September 2016
M. Gamal
Lifeng Lai
ArXiv (abs)PDFHTML

Papers citing "On Randomized Distributed Coordinate Descent with Quantized Updates"

4 / 4 papers shown
Incentives for Federated Learning: a Hypothesis Elicitation Approach
Incentives for Federated Learning: a Hypothesis Elicitation Approach
Yang Liu
Jiaheng Wei
FedML
242
25
0
21 Jul 2020
Fault Tolerance in Iterative-Convergent Machine Learning
Fault Tolerance in Iterative-Convergent Machine Learning
Aurick Qiao
Bryon Aragam
Bingjing Zhang
Eric Xing
307
49
0
17 Oct 2018
Stochastic, Distributed and Federated Optimization for Machine Learning
Stochastic, Distributed and Federated Optimization for Machine Learning
Jakub Konecný
FedML
222
38
0
04 Jul 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
760
5,348
0
18 Oct 2016
1
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