A Distributed Particle Swarm Optimization Algorithm Based on Apache Spark for Asynchronous Parallel Training of Deep Neural Networks.
Manuel I. CapelJuan A. Holgado-TerrizaSergio Galiana-VelascoAlberto G. SalgueroPublished in: ICPP Workshops (2024)
Keyphrases
- particle swarm optimization algorithm
- neural network
- particle swarm optimization
- training process
- map reduce
- convergence speed
- particle swarm
- feedforward neural networks
- feed forward neural networks
- pso algorithm
- training algorithm
- open source
- distributed constraint satisfaction
- distributed systems
- multilevel thresholding
- inertia weight
- global search
- multi layer perceptron
- asynchronous cellular automata
- genetic algorithm
- multilayer perceptron
- parallel computation
- fault diagnosis
- wavelet neural network
- back propagation
- artificial neural networks
- hidden layer
- recurrent neural networks
- parallel computing
- evolution strategy
- convergence rate
- swarm intelligence
- parallel algorithm
- deep architectures
- cloud computing
- fuzzy logic