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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          | Main Authors: | , | 
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| Format: | Article | 
| Language: | English | 
| Published: | Elsevier
    
        2024-12-01 | 
| Series: | Alexandria Engineering Journal | 
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824010822 | 
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