A Distributed Particle Swarm Optimization Algorithm Based on Apache Spark for Asynchronous Parallel Training of Deep Neural Networks-Reference-Cited by-同舟云学术

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A Distributed Particle Swarm Optimization Algorithm Based on Apache Spark for Asynchronous Parallel Training of Deep Neural Networks

Published:2024-08-12 Issue: Volume:11 Page:76-85
ISSN:
Container-title:The 53rd International Conference on Parallel Processing Workshops
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Author:

Capel Manuel I.¹^ORCID,Holgado-Terriza Juan A.¹^ORCID,Galiana-Velasco Sergio¹^ORCID,Salguero Alberto G.²^ORCID

Affiliation:

1. Software Engineering Department, University of Granada, Spain

2. Department of Computer Science and Programming Languages, University of Málaga, Spain

Funder

Spanish Science Ministry

Publisher

ACM

Reference19 articles.

1. Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, 2016. TensorFlow: A System for Large-Scale Machine Learning. 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16) (2016), 265–283.

2. A Comparison of Synchronous and Asynchronous Distributed Particle Swarm Optimization for Edge Computing

3. Victor Alexandrovich Dmitriev Daniel Leal Souza Tiago Carvalho Martins. 2011. PSO-GPU: Accelerating Particle Swarm Optimization in CUDA-Based Graphics Processing Units. In GECCO11.

4. Data parallelism in particle swarm optimization;Engelbrecht P;IEEE Transactions on Evolutionary Computation,2007

5. A Hybrid Mechanism of Particle Swarm Optimization and Differential Evolution Algorithms based on Spark

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