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Distributed Learning in the Non-Convex World: From Batch to Streaming
  Data, and Beyond

Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond

14 January 2020
Tsung-Hui Chang
Mingyi Hong
Hoi-To Wai
Xinwei Zhang
Songtao Lu
    GNN
ArXiv (abs)PDFHTML

Papers citing "Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond"

5 / 5 papers shown
GT-STORM: Taming Sample, Communication, and Memory Complexities in
  Decentralized Non-Convex Learning
GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex LearningACM Interational Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2021
Xin Zhang
Jia Liu
Zhengyuan Zhu
Elizabeth S. Bentley
282
14
0
04 May 2021
Federated Learning over Wireless Device-to-Device Networks: Algorithms
  and Convergence Analysis
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence AnalysisIEEE Journal on Selected Areas in Communications (JSAC), 2021
Hong Xing
Osvaldo Simeone
Suzhi Bi
329
124
0
29 Jan 2021
Distributed Stochastic Consensus Optimization with Momentum for
  Nonconvex Nonsmooth Problems
Distributed Stochastic Consensus Optimization with Momentum for Nonconvex Nonsmooth Problems
Zhiguo Wang
Jiawei Zhang
Tsung-Hui Chang
Jian Li
Jianfeng Yao
297
45
0
10 Nov 2020
On the Convergence of Consensus Algorithms with Markovian Noise and
  Gradient Bias
On the Convergence of Consensus Algorithms with Markovian Noise and Gradient Bias
Hoi-To Wai
298
15
0
18 Aug 2020
Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance
  Reduction
Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction
Prashant Khanduri
Pranay Sharma
Swatantra Kafle
Saikiran Bulusu
K. Rajawat
P. Varshney
267
6
0
01 May 2020
1
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