AI RESEARCH
Performance and Energy Trade-Off Analysis of Hierarchical Federated Learning for Plant Disease Classification
arXiv CS.LG
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ArXi:2605.08121v1 Announce Type: cross Early detection of plant diseases is critical for improving crop productivity, while it also facilitates the foundations of precision agriculture. Recent advances in distributed deep learning have enabled plant disease classification models to be trained across geographically distributed agricultural sensing infrastructures. However, deploying such systems in large-scale Internet of Things (IoT) environments,