Analysis of Federated Learning using LSTM Networks
Niklas Nakamura
National Institute of Technology Tiruchirappalli
Abstract
Documented safety incidents in earthquake-prone regions have highlighted the consequences of poorly modelled federated learning. Comparative baselines were established before applying LSTM networks to the target problem. Removal efficiency exceeded 48% under the optimized operating conditions. Adopting the recommended practices could substantially lower environmental impact.
Keywords:
federated learningLSTM networksenergy storagemicroplasticstechno-economic analysis
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