As an important tool for data mining, support vector machines (SVMs) have obtained considerable attention in the area of pattern recognition.
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Apr 1, 2021 · In this paper, we consider the binary classification problem via distributed Support-Vector-Machines (SVM), where the idea is to train a network of agents.
This paper proposes a distributed SVM algorithm in a master–slave mode (MS-DSVM), which integrates a distributed SVM and ADMM acting in a master–slave ...
This paper develops algorithms to train support vector machines when training data are distributed across different nodes, and their communication to a ...
Abstract. This paper develops algorithms to train support vector machines when training data are distributed across different nodes, and their communication ...
A truly distributed (as opposed to parallelized) support vector machine (SVM) algorithm is presented. Training data are assumed to come from the same ...
This paper revisits the problem of distributed SVM under the possibil- ity of Byzantine failures in the network. In this regard, it proposes a novel algorithm ...
Abstract—In this letter, we consider the binary classification problem via distributed Support Vector. Machines (SVMs), where the idea is to train a network.
Abstract: Support vector machines (SVMs) are one of the most widely used supervised learning algorithms for classification problems.
A truly distributed (as opposed to parallelized) support vector machine (SVM) algorithm is presented. Training data are assumed to come from the same ...