Enhancing environmental sustainability with federated LSTM models for AI-driven optimization

Enhancing environmental sustainability with federated LSTM models for AI-driven optimization

Combining artificial intelligence (AI) and optimization techniques in the quest for environmental sustainability has emerged as a promising strategy. This paper explores the potential of a Federated Long Short-Term Memory (Fed LSTM) model in addressing environmental challenges through decentralized...

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Bibliographic Details
Main Authors:	Fahd S. Alharithi, Ahmad A. Alzahrani
Format:	Article
Language:	English
Published:	Elsevier 2024-12-01
Series:	Alexandria Engineering Journal
Subjects:	Federated LSTM Environmental sustainability Decentralized learning Intelligent optimization Data privacy
Online Access:	http://www.sciencedirect.com/science/article/pii/S1110016824010822
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