Communication-Efficient Network-Distributed Optimization with
Differential-Coded Compressors

Communication-Efficient Network-Distributed Optimization with Differential-Coded Compressors

6 December 2019

Elizabeth S. Bentley

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Papers citing "Communication-Efficient Network-Distributed Optimization with Differential-Coded Compressors"

12 / 12 papers shown

Title
Robust and Communication-Efficient Collaborative Learning Amirhossein Reisizadeh Hossein Taheri Aryan Mokhtari Hamed Hassani Ramtin Pedarsani 77 91 0 24 Jul 2019
Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks Xin Zhang Jia Liu Zhengyuan Zhu Elizabeth S. Bentley 50 27 0 10 Dec 2018
Communication Compression for Decentralized Training Hanlin Tang Shaoduo Gan Ce Zhang Tong Zhang Ji Liu 63 273 0 17 Mar 2018
Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization Zhe Wang Yi Zhou Yingbin Liang Guanghui Lan 59 48 0 20 Feb 2018
Generalization Error Bounds with Probabilistic Guarantee for SGD in Nonconvex Optimization Yi Zhou Yingbin Liang Huishuai Zhang MLT 57 26 0 19 Feb 2018
Gradient Sparsification for Communication-Efficient Distributed Optimization Jianqiao Wangni Jialei Wang Ji Liu Tong Zhang 90 526 0 26 Oct 2017
Collaborative Deep Learning in Fixed Topology Networks Zhanhong Jiang Aditya Balu Chinmay Hegde Soumik Sarkar FedML 59 181 0 23 Jun 2017
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 140 989 0 22 May 2017
Distributed Learning for Cooperative Inference A. Nedić Alexander Olshevsky César A. Uribe FedML 37 24 0 10 Apr 2017
On Nonconvex Decentralized Gradient Descent Jinshan Zeng W. Yin 75 191 0 20 Aug 2016
Stochastic Variance Reduction for Nonconvex Optimization Sashank J. Reddi Ahmed S. Hefny S. Sra Barnabás Póczós Alex Smola 99 602 0 19 Mar 2016
Federated Optimization:Distributed Optimization Beyond the Datacenter Jakub Konecný H. B. McMahan Daniel Ramage FedML 118 738 0 11 Nov 2015

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