Hierarchical federated learning for plant-disease classification shows distinct accuracy-versus-energy trade-offs across EfficientNet-B0, ResNet-50, and MobileNetV3-Large paired with FedAvg, FedProx, and FedAvgM.
Internet of things (IoT) and machine learning model of plant disease prediction–blister blight for tea plant
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.DC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Performance and Energy Trade-Off Analysis of Hierarchical Federated Learning for Plant Disease Classification
Hierarchical federated learning for plant-disease classification shows distinct accuracy-versus-energy trade-offs across EfficientNet-B0, ResNet-50, and MobileNetV3-Large paired with FedAvg, FedProx, and FedAvgM.