Enhanced Distributed Computation for Machine Learning: Coded Strategies and Multidisciplinary Impact by Tian Xiaolin

“…This article explores methods to accelerate distributed computation, focusing on its application in machine learning. …”
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Graph-Theoretic Limits of Distributed Computation: Entropy, Eigenvalues, and Chromatic Numbers by Mohammad Reza Deylam Salehi, Derya Malak

“…Our codes leverage the spectra of the computation and provide a graph expansion-based characterization to succinctly capture the computation structure, providing new insights into the problem of distributed computation of arbitrary functions.…”
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MINIMIZING THE NUMBER OF PROCESSING UNITS IN DISTRIBUTED COMPUTATIONS by N. S. Kovalenko, V. N. Vengherov, V. M. Metelyskij

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Internet of Things and Distributed Computing Systems in Business Models by Albérico Travassos Rosário, Ricardo Raimundo

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AI-Enabled Collaborative Distributed Computing in Networked UAVs by Bassem Mokhtar

“…This work proposes a distributed computing architecture for networked UAVs based on collaborative learning and edge-of-things computing. …”
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Joint Distributed Computation Offloading and Radio Resource Slicing Based on Reinforcement Learning in Vehicular Networks by Khaled A. Alaghbari, Heng-Siong Lim, Charilaos C. Zarakovitis, N. M. Abdul Latiff, Sharifah Hafizah Syed Ariffin, Su Fong Chien

“…In this study, we propose distributed computation offloading systems using reinforcement learning, such as Q-learning, to optimize offloading decisions and balance computation load across the network while minimizing the number of task offloading switches. …”
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Epidemic Random Network Simulations in a Distributed Computing Environment by J. Villanueva-Oller, L. Acedo, J. A. Moraño, A. Sánchez-Sánchez

“…We discuss a computational system following the paradigm of distributed computing, which will allow us to simulate the epidemic propagation in random networks with large number of nodes up to one million. …”
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Survey of Distributed Computing Frameworks for Supporting Big Data Analysis by Xudong Sun, Yulin He, Dingming Wu, Joshua Zhexue Huang

Subjects: “…distributed computing frameworks…”
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Dynamic and Stochastic Models for Application Management in Distributed Computing Systems by Saleh M. Altowaijri

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Enhancing Internet and Distributed Computing Systems with Wireless Sensor Networks by Giancarlo Fortino, Raffaele Gravina, Wenfeng Li, Mohammad Mehedi Hassan, Antonio Liotta

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Scalable data assimilation with message passing by Oscar Key, So Takao, Daniel Giles, Marc Peter Deisenroth

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Development and application of distributed computing system in inverse problems of fracture mechanics by Arkady N. Soloviev, Pavel V. Vasiliev, Lyubov A. Podkolzina

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Face recognition method based on convolutional neural network and distributed computing by Liu Yanyu, Zhang Liu, Zhang Dawei

“…A convolutional neural network and distributed computing (DC)-based face recognition model is researched to enhance multitask face recognition accuracy and computational capacity. …”
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Distributed computations for large-scale networked systems using belief propagation by Qianqian Cai, Zhaorong Zhang, Minyue Fu

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Reconfigurable FPGA-based embedded Web services as distributed computational nodes by Robert Brzoza-Woch, Piotr Nawrocki

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Design of SoC/SIP simulation acceleration based on distributed computing by Wang Feng, Zhang Lirong, Wang Lei

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Software analysis of scientific texts: comparative study of distributed computing frameworks by Serik Altynbek, Gabit Shuitenov, Madi Muratbekov, Alibek Barlybayev

“…This study aims to conduct a study of popular distributed computing frameworks for scientific text processing. …”
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k-Means Clustering Algorithm and Its Simulation Based on Distributed Computing Platform by Chunqiong Wu, Bingwen Yan, Rongrui Yu, Baoqin Yu, Xiukao Zhou, Yanliang Yu, Na Chen

“…At present, the explosive growth of data and the mass storage state have brought many problems such as computational complexity and insufficient computational power to clustering research. The distributed computing platform through load balancing dynamically configures a large number of virtual computing resources, effectively breaking through the bottleneck of time and energy consumption, and embodies its unique advantages in massive data mining. …”
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A novel routing method for dynamic control in distributed computing power networks by Lujie Guo, Fengxian Guo, Mugen Peng

“…Driven by diverse intelligent applications, computing capability is moving from the central cloud to the edge of the network in the form of small cloud nodes, forming a distributed computing power network. Tasked with both packet transmission and data processing, it requires joint optimization of communications and computing. …”
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Using Simulation Modeling to Estimate Time Characteristics of a Distributed Computing System by G. A. Zvonareva, D. S. Buzunov

Subjects: “…distributed computing systems…”
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