A new class of distributed optimization algorithms: application to regression of distributed data
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Publication:2885464
DOI10.1080/10556788.2010.511669zbMath1266.90142OpenAlexW2101385798MaRDI QIDQ2885464
S. Sundhar Ram, Angelia Nedić, Venugopal V. Veeravalli
Publication date: 23 May 2012
Published in: Optimization Methods and Software (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10556788.2010.511669
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Uses Software
Cites Work
- Unnamed Item
- Distributed stochastic subgradient projection algorithms for convex optimization
- Incremental Stochastic Subgradient Algorithms for Convex Optimization
- Robust Distributed Estimation Using the Embedded Subgraphs Algorithm
- On Distributed Averaging Algorithms and Quantization Effects
- A Collaborative Training Algorithm for Distributed Learning
- Distributed multivariate regression using wavelet-based collective data mining
- The elements of statistical learning. Data mining, inference, and prediction
