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Crossover-SGD: A gossip-based communication in distributed deep learning
  for alleviating large mini-batch problem and enhancing scalability

Crossover-SGD: A gossip-based communication in distributed deep learning for alleviating large mini-batch problem and enhancing scalability

30 December 2020
Sangho Yeo
Minho Bae
Minjoong Jeong
Oh-Kyoung Kwon
Sangyoon Oh
ArXivPDFHTML

Papers citing "Crossover-SGD: A gossip-based communication in distributed deep learning for alleviating large mini-batch problem and enhancing scalability"

2 / 2 papers shown
Title
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Yue Liu
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
101
955
0
03 Feb 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
310
2,892
0
15 Sep 2016
1