Model training node selection method for hierarchical federal edge learning
A model training and edge model technology, applied in the field of wireless communication and federated machine learning, can solve problems such as hindering the development and application of hierarchical federated edge learning, so as to solve the problem of credibility evaluation, enhance reliability, and solve the problem of reliable selection Effect
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[0045] The present invention is described in detail below in conjunction with accompanying drawing:
[0046] The invention provides a model training node selection method for hierarchical federated edge learning. In order to make the selection method and features of the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings.
[0047] figure 1 A system overall architecture diagram of a model training node selection method for hierarchical federated edge learning provided for the specific implementation of the present invention. In the figure, the whole system is divided into three parts: layered federated edge learning, alliance blockchain management and reputation value update. Among them, in the part of hierarchical federated edge learning, E represents the edge model parameters, G represents the global model parameters, L represents the local model parameters, the dotted arrow represents the upload o...
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