Fig. 7 | Scientific Reports

Fig. 7

From: Application of the joint clustering algorithm based on Gaussian kernels and differential privacy in lung cancer identification

Fig. 7

Performance evaluation of DPFCM_GK and other methods under varying privacy budgets using LLCS. (A) The relationship between the test accuracy (%) of various models and privacy budget values. (B) The relationship between the misclassification rate (%) of various models and privacy budget values. (C) The relationship between the misclassification rate (%) of various models and the number of iterations, with the privacy budget fixed at 5. (D-J) When the privacy budget ε is set to 5, the confusion matrices of the DPFCM, DPFCM_GK, LDP-Fed, LDP-FL, LDP-SGD, MGM-DPFL, and MGM-FedSGD models are evaluated using the LLCS dataset.

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