Lightweight excitation model training method based on hierarchical federal learning
An incentive model and lightweight technology, applied in computing models, machine learning, computing, etc., can solve the problems of poor HFL training effect and limited number of HFL end-side users, saving training costs and improving training effects.
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[0076] Hereinafter, an embodiment of the present disclosure will be described with reference to the accompanying drawings. It should be understood, however, that these descriptions are merely exemplary, and not to limit the scope of the disclosure. In the following detailed description, many of the specific details are set forth to provide a comprehensive understanding of the embodiments of the present disclosure. However, it is apparent that one or more embodiments may be implemented without these specific details. Further, in the following description, a description of the well-known structure and techniques is omitted to avoid unnecessarily obscuring the concepts of the present disclosure.
[0077] The terminology used herein is merely to describe specific embodiments, and is not intended to limit the disclosure. The terms "including", "comprising", "comprising", indicating the presence of features, steps, operations, and / or components, but does not exclude presence or additi...
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