A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithms

In many real-world applications of machine learning, the amount of data is now beyond the capability of learning algorithms be- cause they cannot process all available data in a reasonable time. More- over, most large datasets are naturally distributed or they are being stored in a distributed manner. A promising line of research in order to deal with large and/or distributed data is distributed learning. We propose a new distributed learning algorithm based on two-layer articial neural networks and genetic algorithms. The results obtained show that our method per- forms better than other distributed learning algorithms.