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Constrained Bayesian Optimization for Hierarchical Federated Learning in IoT Networks for Plant Disease Classification
The deployment of Hierarchical Federated Learning (HFL) in resource-constrained Internet of Things (IoT) environments requires careful configuration to balance predictive performance with energy consumption and execution time. This challenge is particularly relevant to smart agriculture, where distr
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