Treinamento distribuído de redes MLP para classificação de figuras geométricas
Lucca Gamballi, Daniel G. Tiglea, Renato Candido, Magno T. M. Silva. Treinamento distribuído de redes MLP para classificação de figuras geométricas, Simpósio Brasileiro de Telecomunicações – SBrT’2022, 2022. Santa Rita do Sapucaí, Anais do SBrT 2022, 2022, pp. 1–2. (available only in portuguese)
Multilayer perceptron neural networks are used to classify geometric figures using a distributed approach. Training data are divided among neural networks that communicate through a certain topology, in which each network does not have access to the training data of the others. Simulation results indicate that the performance achieved with distributed training and a suitable topology is similar to that observed with classical training. Thus, data privacy is guaranteed without loss of performance.
Artificial neural networks, multi-layer perceptron, distributed processing, topology, geometric figures.