A hybrid approach applies active learning at edge devices and federated learning at fog nodes to reduce training data volume and communication cost for image classification in distributed edge-fog setups.
”Balancing exploration and exploitation: A new algorithm for active machine learning.” Data Mining, Fifth IEEE International Conference on
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Active Learning Solution on Distributed Edge Computing
A hybrid approach applies active learning at edge devices and federated learning at fog nodes to reduce training data volume and communication cost for image classification in distributed edge-fog setups.