Rapid model forgetting method and system based on generative adversarial network
A model and fast technology, applied in the field of deep learning, can solve the problem of forgetting data based on machine learning, and achieve the effect of speeding up, obvious effect, and saving storage space
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[0028] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings. It should be noted here that the description of these embodiments is used to help the understanding of the present invention, but does not constitute a limitation of the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.
[0029] see figure 1 A flowchart of a method for fast model forgetting based on generative adversarial network shown in the embodiment, including:
[0030] S101. Take a third-party data with the same distribution as the data to be forgotten, input it into the original model, and perform sorting processing on the results output by the original model to obtain a first sorting result.
[0031] Suppose the data to be forgotten is D f , the trained original model is M i...
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