Federated Learning Enhanced MLP–LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction

Federated Learning Enhanced MLP–LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction

Abstract In this study, the research presents the Federated Learning Enhanced Multi-Layer Perceptron (Fed-MLP) Long Short-Term Memory that is suggested by the research. The research intends to use the LSTM networks extensively that are proficient in spatial dependence capturing and integrate them wi...

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Bibliographic Details
Main Authors: Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni
Format: Article
Language:English
Published: Springer 2024-10-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Stock market now casting and forecasting
Imputation method
MLP feature extraction
Principal component analysis
Long short-term memory
Online Access:https://doi.org/10.1007/s44196-024-00680-9
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https://doi.org/10.1007/s44196-024-00680-9

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