Funder
Basic Algorithms and Programming Environment of Big Data Analysis Based on Supercomputing
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Reference32 articles.
1. Algamal ZY, Lee MH (2019) A two-stage sparse logistic regression for optimal gene selection in high-dimensional microarray data classification. Adv Data Anal Classif 13:753–771
2. Alistarh D, Grubic D, Li J, Tomioka R, Vojnovic M (2017) Qsgd: communication-efficient sgd via gradient quantization and encoding. In: Guyon I, Luxburg UV, Bengio S, Wallach H, Fergus R, Vishwanathan S, Garnett R (eds) Advances in neural information processing systems 30. Curran Associates, Inc., pp 1709–1720
3. Balamurugan P, Posinasetty A, Shevade S (2016) Admm for training sparse structural svms with augmented l1 regularizers. In: Siam International Conference On Data Mining. https://doi.org/10.1137/1.9781611974348.77
4. Boyd S, Parikh N, Chu E, Peleato B, Eckstein J et al (2011) Distributed optimization and statistical learning via the alternating direction method of multipliers. Found Trends$${\textregistered }$$ Mach Learn 3(1):1–122. https://doi.org/10.1561/2200000016
5. Chang TH, Hong M, Liao WC, Wang X (2016) Asynchronous distributed admm for large-scale optimization-part i: algorithm and convergence analysis. IEEE Trans Signal Process 64(12):3118–3130. https://doi.org/10.1109/TSP.2016.2537271
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