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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

22 August 2018
Jianyu Wang
Gauri Joshi
ArXivPDFHTML

Papers citing "Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms"

9 / 209 papers shown
Title
Federated Learning via Over-the-Air Computation
Federated Learning via Over-the-Air Computation
Kai Yang
Tao Jiang
Yuanming Shi
Z. Ding
FedML
12
873
0
31 Dec 2018
Federated Optimization in Heterogeneous Networks
Federated Optimization in Heterogeneous Networks
Tian Li
Anit Kumar Sahu
Manzil Zaheer
Maziar Sanjabi
Ameet Talwalkar
Virginia Smith
FedML
15
5,017
0
14 Dec 2018
Wireless Network Intelligence at the Edge
Wireless Network Intelligence at the Edge
Jihong Park
S. Samarakoon
M. Bennis
Mérouane Debbah
21
518
0
07 Dec 2018
Data-parallel distributed training of very large models beyond GPU
  capacity
Data-parallel distributed training of very large models beyond GPU capacity
Samuel Matzek
M. Grossman
Minsik Cho
Anar Yusifov
Bryant Nelson
A. Juneja
GNN
14
3
0
29 Nov 2018
Adaptive Communication Strategies to Achieve the Best Error-Runtime
  Trade-off in Local-Update SGD
Adaptive Communication Strategies to Achieve the Best Error-Runtime Trade-off in Local-Update SGD
Jianyu Wang
Gauri Joshi
FedML
27
231
0
19 Oct 2018
Parallel Restarted SGD with Faster Convergence and Less Communication:
  Demystifying Why Model Averaging Works for Deep Learning
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning
Hao Yu
Sen Yang
Shenghuo Zhu
MoMe
FedML
27
597
0
17 Jul 2018
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,687
0
14 Apr 2018
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in
  Distributed SGD
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD
Sanghamitra Dutta
Gauri Joshi
Soumyadip Ghosh
Parijat Dube
P. Nagpurkar
22
193
0
03 Mar 2018
Optimal Distributed Online Prediction using Mini-Batches
Optimal Distributed Online Prediction using Mini-Batches
O. Dekel
Ran Gilad-Bachrach
Ohad Shamir
Lin Xiao
177
683
0
07 Dec 2010
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