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FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks.

, , , и . Future Gener. Comput. Syst., (декабря 2023)

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Beatriz Pérez Martí

David Sánchez Sánchez

Roberto Francisco Pérez Benito

Ema Pérez Bravo

José Guadalupe Pérez-Ramírez

 

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Distributed learning on nonuniform class-probability distributions based on genetic algorithms and artificial neural networks., , и . HIMA, стр. 54-60. IEEE, (2011)A robust incremental learning method for non-stationary environments., , , и . Neurocomputing, 74 (11): 1800-1808 (2011)A Fast Semi-linear Backpropagation Learning Algorithm., , , и . ICANN (1), том 4668 из Lecture Notes in Computer Science, стр. 190-198. Springer, (2007)Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks., , , и . ICANN (1), том 6352 из Lecture Notes in Computer Science, стр. 60-66. Springer, (2010)An effective and efficient green federated learning method for one-layer neural networks., , , и . CoRR, (2023)Self-adaptive Topology Neural Network for Online Incremental Learning., , и . ICAART (1), стр. 94-101. SciTePress, (2014)Functional Networks., , и . Encyclopedia of Artificial Intelligence, IGI Global, (2009)A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithms., , , и . ESANN, (2011)A fast learning algorithm for high dimensional problems: an application to microarrays., , , , и . ESANN, (2016)An Improved Version of the Wrapper Feature Selection Method Based on Functional Decomposition., , и . ICANN (2), том 4669 из Lecture Notes in Computer Science, стр. 240-249. Springer, (2007)