Asynchronous Distributed ADMM for Learning with Large-Scale and High-Dimensional Sparse Data Set-Reference-Cited by-同舟云学术

Asynchronous Distributed ADMM for Learning with Large-Scale and High-Dimensional Sparse Data Set

Published:2019 Issue: Volume: Page:259-274
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Author:

Wang Dongxia,Lei Yongmei

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-36405-2_27

Reference20 articles.

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2. Chang, T.H., Hong, M., Liao, W.C., Wang, X.: Asynchronous distributed admm for large-scale optimization–part i: algorithm and convergence analysis. IEEE Trans. Signal Process. 64(12), 3118–3130 (2016)

3. Chang, T.H., Liao, W.C., Hong, M., Wang, X.: Asynchronous distributed admm for large-scale optimization–part ii: linear convergence analysis and numerical performance. IEEE Trans. Signal Process. 64(12), 3131–3144 (2016)

4. Chen, T., et al.: Mxnet: a flexible and efficient machine learning library for heterogeneous distributed systems. abs/1512.01274 (2015). https://arxiv.org/abs/1512.01274

5. Fang, L., Lei, Y.: An asynchronous distributed admm algorithm and efficient communication model. In: 14th IntlConf on Pervasive Intelligence and Computing, 2nd International Conference on Big Data Intelligence and Computing and Cyber Science and Technology Congress. IEEE (2016)

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