Results 21 to 30 of about 7,855,956 (309)
Distributed Algorithms for Array Signal Processing
IEEE Transactions on Signal Processing, 2021 Distributed or decentralized estimation of covariance, and distributed principal component analysis have been introduced and studied in the signal processing community in recent years, and applications in array processing have been indicated in some ...
Po-Chih Chen, P. Vaidyanathan
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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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Future Internet, 2021 Determining the network size is a critical process in numerous areas (e.g., computer science, logistic, epidemiology, social networking services, mathematical modeling, demography, etc.).
Martin Kenyeres, Jozef Kenyeres
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On the robustness of distributed algorithms [PDF]
Proceedings of the 45th IEEE Conference on Decision and Control, 2006 In recent years, numerous distributed algorithms have been proposed which, when executed by a team of dynamic agents, result in the completion of a joint task. However, for any such algorithm to be practical, one should be able to guarantee that the task is still satisfactorily executed even when agents fail to communicate with others or to perform ...
Vijay Gupta 0001 +2 more
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Quantum Information and Computation, 2023 Shor's algorithm is one of the most important quantum algorithm proposed by Peter Shor [Proceedings of the 35th Annual Symposium on Foundations of Computer Science, 1994, pp. 124--134]. Shor's algorithm can factor a large integer with certain probability and costs polynomial time in the length of the input integer.
Ligang Xiao +3 more
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A distributed parallel optimization algorithm via alternating direction method of multipliers
IET Control Theory & Applications, 2023 Alternating direction method of multipliers (ADMM) has been widely used for solving the distributed optimisation problems. This paper proposes a novel distributed ADMM algorithm to solve the distributed optimisation problems consisting of convex cost ...
Ziye Liu +3 more
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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 GNE-Seeking under Partial Information Based on Preconditioned Proximal-Point Algorithms
Applied Sciences, 2023 This paper proposes a distributed algorithm for games with shared coupling constraints based on the variational approach and the proximal-point algorithm.
Zhongzheng Wang +5 more
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Sparsifying Distributed Algorithms with Ramifications in Massively Parallel Computation and Centralized Local Computation [PDF]
ACM-SIAM Symposium on Discrete Algorithms, 2018 We introduce a method for sparsifying distributed algorithms and exhibit how it leads to improvements that go past known barriers in two algorithmic settings of large-scale graph processing: Massively Parallel Computation (MPC), and Local Computation ...
M. Ghaffari, J. Uitto
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Fed‐SAD: A secure aggregation federated learning method for distributed short‐term load forecasting
IET Generation, Transmission & Distribution, 2023 The distributed and privacy‐preserving attributes of fine‐grained smart grid data create obstacles to data sharing. As a result, federated learning emerges as an effective strategy for collaborative training in distributed load forecasting.
Hexiao Li +4 more
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