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DDR-coin: An Efficient Probabilistic Distributed Trigger Counting Algorithm
Sensors, 2020 A distributed trigger counting (DTC) problem is to detect w triggers in the distributed system consisting of n nodes. DTC algorithms can be used for monitoring systems using sensors to detect a significant global change.
Seokhyun Kim, Yongsu Park
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Distributed Grover's algorithm
Theoretical Computer Science20pages, five figures, comments are ...
Le Luo, Daowen Qiu
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Frontiers in Energy Research, 2022 Centralized algorithms and distributed algorithms have gained great attention on the energy Internet nowadays. The centralized algorithm presses too much communication and numeration load to its control center in large-scale and neterogeny EI.
Jiaming Tan
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Distributed Support Vector Ordinal Regression over Networks
Entropy, 2022 Ordinal regression methods are widely used to predict the ordered labels of data, among which support vector ordinal regression (SVOR) methods are popular because of their good generalization.
Huan Liu, Jiankai Tu, Chunguang Li
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One-Shot Distributed Generalized Eigenvalue Problem (DGEP): Concept, Algorithm and Experiments
Applied Sciences, 2022 This paper focuses on the design of a distributed algorithm for generalized eigenvalue problems (GEPs) in one-shot communication. Since existing distributed methods for eigenvalue decomposition cannot be applied to GEP, a general one-shot distributed GEP
Kexin Lv +4 more
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Sensors, 2021 This paper investigated an energy-efficient beamforming and power allocation strategy for cognitive heterogeneous networks with multiple-input-single-output interference channels.
Kisong Lee
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The distributed boosting algorithm [PDF]
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001 In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneous databases that cannot be merged at a single location. Our distributed boosting algorithm can also be used as a parallel classification technique, where a massive database ...
Aleksandar Lazarevic, Zoran Obradovic
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Distributed Systems and Algorithms [PDF]
, 2010 Despite an impressive body of research, parallel and distributed computing remains a complex task prone to subtle software issues that can affect both the correctness and the performance of the computation. The increasing demand to distribute computing over large-scale parallel and distributed platforms, such as grids and large clusters, often combined
Omer F. Rana +3 more
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Frontiers in Energy Research, 2023 With the integration of renewable energy into the grid, the traditional power system stability faced by huge challenges, and the development of integrated energy system, it is of essence to improve the coupling of multiple integrated energy systems of ...
Xinying Liu, Xu Chen, Xinyu Ke
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Sensors, 2023 Multi-UAV systems have been widely used in reconnaissance, disaster relief, communication, and other fields. However, many dynamic events can cause a partial failure of the original mission during the mission execution process, in which case task ...
Gang Wang, Xiao Lv, Xiaohu Yan
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