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检索条件"主题词=Consensus algorithm"
2607 条 记 录,以下是2351-2360 订阅
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A Privacy-Preserving Asynchronous Averaging algorithm based on State Decomposition
A Privacy-Preserving Asynchronous Averaging Algorithm based ...
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European Signal Processing Conference (EUSIPCO)
作者: Metin Calis Richard Heusdens Richard C. Hendriks Delft University of Technology Delft Netherlands Netherlands Defence Academy
Average consensus algorithms are used in many distributed systems such as distributed optimization, sensor fusion and the control of dynamic systems. consensus algorithms converge through an explicit exchange of state... 详细信息
来源: 评论
A LINEAR-TIME algorithm FOR (1 + Ε)∆-EDGE-COLORING
arXiv
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arXiv 2024年
作者: Bernshteyn, Anton Dhawan, Abhishek Department of Mathematics University of California Los AngelesCA United States Department of Mathematics University of Illinois Urbana-Champaign UrbanaIL United States
We present a randomized algorithm that, given a constant Ε > 0, outputs a proper (1 + Ε)∆-edge-coloring of an m-edge simple graph G of maximum degree ∆ ≥ 1/Ε in O(m) time with high probability. This is the firs... 详细信息
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Simpler O(1) Query algorithm for Level Ancestors
arXiv
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arXiv 2022年
作者: Saxena, Sanjeev Dept. of Computer Science and Engineering Indian Institute of Technology Kanpur208 016 India
This note describes a very simple O(1) query time algorithm for finding level ancestors. This is basically a serial (re)-implementation of the parallel algorithm of Berkman and Vishkin (*** and ***, Finding level-ance... 详细信息
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On the SAGA algorithm with decreasing step
arXiv
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arXiv 2024年
作者: Fredes, Luis Bercu, Bernard Gbaguidi, Eméric Institut de Mathématiques de Bordeaux Université de Bordeaux UMR 5251 351 cours de la libération Talence33405 France
Stochastic optimization naturally appear in many application areas, including machine learning. Our goal is to go further in the analysis of the Stochastic Average Gradient Accelerated (SAGA) algorithm. To achieve thi... 详细信息
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STREAMING WORD PROBLEMS
arXiv
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arXiv 2022年
作者: Lohrey, Markus Lück, Lukas Xochitemol, Julio Universität Siegen Germany
We study deterministic and randomized streaming algorithms for word problems of finitely generated groups. For finitely generated groups that can be obtained from linear groups using the following operations we show t... 详细信息
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Distributed Learning with Discretely Observed Functional Data
arXiv
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arXiv 2024年
作者: Liu, Jiading Shi, Lei School of Mathematical Sciences Shanghai Key Laboratory for Contemporary Applied Mathematics Fudan University Shanghai200433 China
By selecting different filter functions, spectral algorithms can generate various regularization methods to solve statistical inverse problems within the learning-from-samples framework. This paper combines distribute... 详细信息
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Accelerating the k-means++ algorithm by Using Geometric Information
arXiv
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arXiv 2024年
作者: Corominas, Guillem Rodríguez Blesa, Maria J. Blum, Christian Barcelona Spain Bellaterra Spain
In this paper, we propose an acceleration of the exact k-means++ algorithm using geometric information, specifically the Triangle Inequality and additional norm filters, along with a two-step sampling procedure. Our e... 详细信息
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A non-intrusive neural-network based BFGS algorithm for parameter estimation in non-stationary elasticity
arXiv
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arXiv 2023年
作者: Frei, Stefan Reichle, Jan Volkwein, Stefan Department of Mathematics and Statistics University of Konstanz Konstanz78457 Germany
We present a non-intrusive gradient and a non-intrusive BFGS algorithm for parameter estimation problems in non-stationary elasticity. To avoid multiple (and potentially expensive) solutions of the underlying partial ... 详细信息
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Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and algorithms
arXiv
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arXiv 2023年
作者: Wu, Keru Chen, Yuansi Ha, Wooseok Yu, Bin Department of Statistical Science Duke University DurhamNC United States Department of Statistics University of California Berkeley BerkeleyCA United States Department of Statistics and EECS University of California Berkeley BerkeleyCA United States
Domain adaptation (DA) is a statistical learning problem that arises when the distribution of the source data used to train a model differs from that of the target data used to evaluate the model. While many DA algori... 详细信息
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Cost-efficient blockchain application to secure data transmission in heterogeneous FANETs
Cost-efficient blockchain application to secure data transmi...
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Consumer Communications and Networking Conference, CCNC IEEE
作者: Daniel Paiva Fernandes Jeremias Barbosa Machado Sidney Givigi Systems Engineering and Information of Technology Institute (IESTI) Federal University of Itajuba Itajuba MG Brazil School of Computing Queen's University Kingston ON Canada
To guarantee the success of vehicular networks, it is essential to ensure that the communication process is reliable and safe from malicious actions and that the solution has low computational complexity and energy co... 详细信息
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