Search Results - "parallel and distributed algorithms"

Parallel and distributed algorithms by Aupy, Guillaume, Tang, Xueyan

“…: Practice and Experience on parallel and distributed algorithms…”
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Graph matching approach and generalized median graph for automatic labeling of cortical sulci with parallel and distributed algorithms by Felouat, Hichem, Oukid-Khouas, Saliha

“… In this paper, we have proposed a new graph based approach of automatic labeling of cortical sulci with parallel and distributed algorithms using graph matching and generalized median graph…”
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Scheduling Policies for Federated Learning in Wireless Networks by Yang, Howard H., Liu, Zuozhu, Quek, Tony Q. S., Poor, H. Vincent

“…Motivated by the increasing computational capacity of wireless user equipments (UEs), e.g., smart phones, tablets, or vehicles, as well as the increasing…”
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A Survey of Parallel and Distributed Algorithms for the Steiner Tree Problem by Bezensek, Mitja, Robic, Borut

“…Given a set of input points, the Steiner Tree Problem (STP) is to find a minimum-length tree that connects the input points, where it is possible to add new…”
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Reducing distance computations for distance-based outliers by Angiulli, Fabrizio, Basta, Stefano, Lodi, Stefano, Sartori, Claudio

“…•The paper introduces the FastSolvingSet algorithm to discover outliers.•This algorithm computes the distance based outliers with no approximation.•The…”
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Scalable and Robust Demand Response With Mixed-Integer Constraints by Seung-Jun Kim, Giannakis, Georgios B.

“…A demand response (DR) problem is considered entailing a set of devices/subscribers, whose operating conditions are modeled using mixed-integer constraints…”
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Statistical properties of a class of randomized binary search algorithms by Xia, Ye

“…In this paper, we analyze the statistical properties of a randomized binary search algorithm and its variants. These algorithms have applications in caching…”
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Novel Control Approaches for Demand Response With Real-Time Pricing Using Parallel and Distributed Consensus-Based ADMM by Nguyen, Dinh Hoa, Azuma, Shun-Ichi, Sugie, Toshiharu

“…This paper studies the automated demand response (DR) problem in smart grids equipped with information and communication technology networks, where power…”
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Training efficiency optimization algorithm of wireless federated learning based on processor performance and network condition awareness by Pang, Guohao, Zhu, Xiaorong

“…With the explosive growth of smart mobile devices in wireless networks, the increasing computational power of mobile chips and the growing concern for personal…”
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Parallel and Distributed Algorithms for Frequent Pattern Mining in Large Databases by Tanbeer, Syed Khairuzzaman, Ahmed, Chowdhury Farhan, Jeong, Byeong-Soo

“…Mining frequent patterns (FP) from large-scale databases has emerged as an important problem in the data mining and knowledge discovery research community. A…”
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Distributed Strategies for Mining Outliers in Large Data Sets by Angiulli, F., Basta, S., Lodi, S., Sartori, C.

“…We introduce a distributed method for detecting distance-based outliers in very large data sets. Our approach is based on the concept of outlier detection…”
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GPU Strategies for Distance-Based Outlier Detection by Angiulli, Fabrizio, Basta, Stefano, Lodi, Stefano, Sartori, Claudio

“… We propose a family of parallel and distributed algorithms for graphic processing units (GPU) derived from two distance-based outlier detection algorithms…”
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Special section: Parallel and distributed algorithms and systems by Gravvanis, George A., Arabnia, Hamid R.

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Robust Federated Learning With Noisy Labeled Data Through Loss Function Correction by Chen, Li, Ang, Fan, Chen, Yunfei

“…Federated learning (FL) is a communication-efficient machine learning paradigm to leverage distributed data at the network edge. Nevertheless, FL usually fails…”
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On the Design and Analysis of Parallel and Distributed Algorithms by Purohit, Rajendra, Chowdhary, K R, Purohit, S D

“…Arrival of multicore systems has enforced a new scenario in computing, the parallel and distributed algorithms are fast replacing the older sequential algorithms, with many challenges of these techniques…”
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Parallel and Distributed Algorithms

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Parallel and Distributed algorithms for ML problems by Dvinskikh, Darina, Gasnikov, Alexander, Rogozin, Alexander, Beznosikov, Alexander

“…In this paper we make a survey of modern parallel and distributed approaches to solve sum-type convex minimization problems come from ML applications…”
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A data structure perspective to the RDD-based Apriori algorithm on Spark by Singh, Pankaj, Singh, Sudhakar, Mishra, P. K., Garg, Rakhi

“…During the recent years, a number of efficient and scalable frequent itemset mining algorithms for big data analytics have been proposed by many researchers…”
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Iterated dilated convolutional neural networks for word segmentation by He. H., Yang, X, Wu L., Wang, G

“…The latest development of neural word segmentation is governed by bi-directional Long Short-Term Memory Networks (Bi-LSTMs) that utilize Recurrent Neural…”
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Undirected \((1+\varepsilon)\)-Shortest Paths via Minor-Aggregates: Near-Optimal Deterministic Parallel & Distributed Algorithms by Rozhoň, Václav, Grunau, Christoph, Haeupler, Bernhard, Zuzic, Goran, Li, Jason

“…This paper presents near-optimal deterministic parallel and distributed algorithms for computing \((1+\varepsilon…”
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