{"id":26561,"date":"2024-02-26T03:37:49","date_gmt":"2024-02-26T04:37:49","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%d9%85%d9%82%d8%a7%d9%84%d9%87-dpsur-%d8%aa%d8%b3%d8%b1%db%8c%d8%b9-%d9%86%d8%b2%d9%88%d9%84-%da%af%d8%b1%d8%a7%d8%af%db%8c%d8%a7%d9%86-%d8%aa%d8%b5%d8%a7%d8%af%d9%81%db%8c-%d8%ae%d8%b5%d9%88%d8%b5\/"},"modified":"2024-02-26T03:37:49","modified_gmt":"2024-02-26T04:37:49","slug":"%d9%85%d9%82%d8%a7%d9%84%d9%87-dpsur-%d8%aa%d8%b3%d8%b1%db%8c%d8%b9-%d9%86%d8%b2%d9%88%d9%84-%da%af%d8%b1%d8%a7%d8%af%db%8c%d8%a7%d9%86-%d8%aa%d8%b5%d8%a7%d8%af%d9%81%db%8c-%d8%ae%d8%b5%d9%88%d8%b5","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%d9%85%d9%82%d8%a7%d9%84%d9%87-dpsur-%d8%aa%d8%b3%d8%b1%db%8c%d8%b9-%d9%86%d8%b2%d9%88%d9%84-%da%af%d8%b1%d8%a7%d8%af%db%8c%d8%a7%d9%86-%d8%aa%d8%b5%d8%a7%d8%af%d9%81%db%8c-%d8%ae%d8%b5%d9%88%d8%b5\/","title":{"rendered":"\u0645\u0642\u0627\u0644\u0647 DPSUR: \u062a\u0633\u0631\u06cc\u0639 \u0646\u0632\u0648\u0644 \u06af\u0631\u0627\u062f\u06cc\u0627\u0646 \u062a\u0635\u0627\u062f\u0641\u06cc \u062e\u0635\u0648\u0635\u06cc \u0645\u062a\u0641\u0627\u0648\u062a \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0628\u0647\u200c\u0631\u0648\u0632\u0631\u0633\u0627\u0646\u06cc \u0627\u0646\u062a\u062e\u0627\u0628\u06cc \u0648 \u0627\u0646\u062a\u0634\u0627\u0631"},"content":{"rendered":"<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc <\/td>\n<td>DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release<\/td>\n<\/tr>\n<tr>\n<td>\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc <\/td>\n<td>\u0645\u0642\u0627\u0644\u0647 DPSUR: \u062a\u0633\u0631\u06cc\u0639 \u0646\u0632\u0648\u0644 \u06af\u0631\u0627\u062f\u06cc\u0627\u0646 \u062a\u0635\u0627\u062f\u0641\u06cc \u062e\u0635\u0648\u0635\u06cc \u0645\u062a\u0641\u0627\u0648\u062a \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0628\u0647\u200c\u0631\u0648\u0632\u0631\u0633\u0627\u0646\u06cc \u0627\u0646\u062a\u062e\u0627\u0628\u06cc \u0648 \u0627\u0646\u062a\u0634\u0627\u0631<\/td>\n<\/tr>\n<tr>\n<td>\u0646\u0648\u06cc\u0633\u0646\u062f\u06af\u0627\u0646 <\/td>\n<td>Jie Fu, Qingqing Ye, Haibo Hu, Zhili Chen, Lulu Wang, Kuncan Wang, Ran Xun<\/td>\n<\/tr>\n<tr>\n<td>\u0632\u0628\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 <\/td>\n<td>\u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/td>\n<\/tr>\n<tr>\n<td>\u0641\u0631\u0645\u062a \u0645\u0642\u0627\u0644\u0647: <\/td>\n<td>PDF<\/td>\n<\/tr>\n<tr>\n<td>\u062a\u0639\u062f\u0627\u062f \u0635\u0641\u062d\u0627\u062a<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>\u062f\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u0645\u0648\u0636\u0648\u0639\u0627\u062a  <\/td>\n<td>Machine Learning,Cryptography and Security,\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 , \u0631\u0645\u0632\u0646\u06af\u0627\u0631\u06cc \u0648 \u0627\u0645\u0646\u06cc\u062a ,<\/td>\n<\/tr>\n<tr>\n<td>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a    <\/td>\n<td>Submitted 23 November, 2023; originally announced November 2023. , Comments: This paper has been accepted by VLDB 2024<\/td>\n<\/tr>\n<tr>\n<td>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc    <\/td>\n<td>\u0627\u0631\u0633\u0627\u0644 \u0634\u062f\u0647 23 \u0646\u0648\u0627\u0645\u0628\u0631 2023 \u061b\u062f\u0631 \u0627\u0628\u062a\u062f\u0627 \u0646\u0648\u0627\u0645\u0628\u0631 2023 \u0627\u0639\u0644\u0627\u0645 \u0634\u062f. \u060c \u0646\u0638\u0631\u0627\u062a: \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u062a\u0648\u0633\u0637 VLDB 2024 \u067e\u0630\u06cc\u0631\u0641\u062a\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u0686\u06a9\u06cc\u062f\u0647<\/h2>\n<p style=\"direction:ltr;\">Machine learning models are known to memorize private data to reduce their training loss, which can be inadvertently exploited by privacy attacks such as model inversion and membership inference. To protect against these attacks, differential privacy (DP) has become the de facto standard for privacy-preserving machine learning, particularly those popular training algorithms using stochastic gradient descent, such as DPSGD. Nonetheless, DPSGD still suffers from severe utility loss due to its slow convergence. This is partially caused by the random sampling, which brings bias and variance to the gradient, and partially by the Gaussian noise, which leads to fluctuation of gradient updates. Our key idea to address these issues is to apply selective updates to the model training, while discarding those useless or even harmful updates. Motivated by this, this paper proposes DPSUR, a Differentially Private training framework based on Selective Updates and Release, where the gradient from each iteration is evaluated based on a validation test, and only those updates leading to convergence are applied to the model. As such, DPSUR ensures the training in the right direction and thus can achieve faster convergence than DPSGD. The main challenges lie in two aspects &#8212; privacy concerns arising from gradient evaluation, and gradient selection strategy for model update. To address the challenges, DPSUR introduces a clipping strategy for update randomization and a threshold mechanism for gradient selection. Experiments conducted on MNIST, FMNIST, CIFAR-10, and IMDB datasets show that DPSUR significantly outperforms previous works in terms of convergence speed and model utility.<\/p>\n<h2>\u0686\u06a9\u06cc\u062f\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062a\u0631\u062c\u0645\u0647 \u0645\u0627\u0634\u06cc\u0646\u06cc)<\/h2>\n<p>\u0645\u062f\u0644 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u0631\u0627\u06cc \u0628\u0647 \u06cc\u0627\u062f \u0622\u0648\u0631\u062f\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0635\u0648\u0635\u06cc \u0628\u0631\u0627\u06cc \u06a9\u0627\u0647\u0634 \u0627\u0632 \u062f\u0633\u062a \u062f\u0627\u062f\u0646 \u0622\u0645\u0648\u0632\u0634 \u0622\u0646\u0647\u0627 \u0634\u0646\u0627\u062e\u062a\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a \u060c \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0627 \u062d\u0645\u0644\u0627\u062a \u062d\u0631\u06cc\u0645 \u062e\u0635\u0648\u0635\u06cc \u0645\u0627\u0646\u0646\u062f \u0648\u0627\u0631\u0648\u0646\u06af\u06cc \u0645\u062f\u0644 \u0648 \u0627\u0633\u062a\u0646\u062a\u0627\u062c \u0639\u0636\u0648\u06cc\u062a \u060c \u0633\u0647\u0648\u0627\u064b \u0645\u0648\u0631\u062f \u0633\u0648\u0621 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0642\u0631\u0627\u0631 \u06af\u06cc\u0631\u062f.\u0628\u0631\u0627\u06cc \u0645\u062d\u0627\u0641\u0638\u062a \u062f\u0631 \u0628\u0631\u0627\u0628\u0631 \u0627\u06cc\u0646 \u062d\u0645\u0644\u0627\u062a \u060c \u062d\u0631\u06cc\u0645 \u062e\u0635\u0648\u0635\u06cc \u062f\u06cc\u0641\u0631\u0627\u0646\u0633\u06cc\u0644 (DP) \u0628\u0647 \u06cc\u06a9 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f de facto \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062d\u0641\u0638 \u062d\u0631\u06cc\u0645 \u062e\u0635\u0648\u0635\u06cc \u062a\u0628\u062f\u06cc\u0644 \u0634\u062f\u0647 \u0627\u0633\u062a \u060c \u0628\u0647 \u0648\u06cc\u0698\u0647 \u0622\u0646 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0645\u062d\u0628\u0648\u0628 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u0628\u0627\u0631 \u0634\u06cc\u0628 \u062a\u0635\u0627\u062f\u0641\u06cc \u0645\u0627\u0646\u0646\u062f DPSGD.\u0628\u0627 \u0627\u06cc\u0646 \u0648\u062c\u0648\u062f \u060c DPSGD \u0628\u0647 \u062f\u0644\u06cc\u0644 \u0647\u0645\u06af\u0631\u0627\u06cc\u06cc \u0622\u0647\u0633\u062a\u0647 \u060c \u0627\u0632 \u062f\u0633\u062a \u062f\u0627\u062f\u0646 \u0627\u0628\u0632\u0627\u0631\u06cc \u0634\u062f\u06cc\u062f \u0631\u0646\u062c \u0645\u06cc \u0628\u0631\u062f.\u0627\u06cc\u0646 \u062a\u0627 \u062d\u062f\u06cc \u062a\u0648\u0633\u0637 \u0646\u0645\u0648\u0646\u0647 \u06af\u06cc\u0631\u06cc \u062a\u0635\u0627\u062f\u0641\u06cc \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u0634\u0648\u062f \u060c \u06a9\u0647 \u062a\u0639\u0635\u0628 \u0648 \u0648\u0627\u0631\u06cc\u0627\u0646\u0633 \u0631\u0627 \u0628\u0647 \u0634\u06cc\u0628 \u0648 \u0628\u062e\u0634\u06cc \u0627\u0632 \u0622\u0646 \u0628\u0627 \u0633\u0631 \u0648 \u0635\u062f\u0627\u06cc \u06af\u0627\u0648\u0633\u06cc \u060c \u06a9\u0647 \u0645\u0646\u062c\u0631 \u0628\u0647 \u0646\u0648\u0633\u0627\u0646\u0627\u062a \u0628\u0647 \u0631\u0648\u0632\u0631\u0633\u0627\u0646\u06cc \u0647\u0627\u06cc \u0634\u06cc\u0628 \u0645\u06cc \u0634\u0648\u062f \u060c \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u062f.\u0627\u06cc\u062f\u0647 \u0627\u0635\u0644\u06cc \u0645\u0627 \u0628\u0631\u0627\u06cc \u067e\u0631\u062f\u0627\u062e\u062a\u0646 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0648\u0636\u0648\u0639\u0627\u062a \u060c \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0628\u0647 \u0631\u0648\u0632\u0631\u0633\u0627\u0646\u06cc \u0647\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628\u06cc \u062f\u0631 \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644 \u0627\u0633\u062a \u060c \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u0622\u0646 \u0628\u0647 \u0631\u0648\u0632\u0631\u0633\u0627\u0646\u06cc \u0647\u0627\u06cc \u0628\u06cc \u0641\u0627\u06cc\u062f\u0647 \u06cc\u0627 \u062d\u062a\u06cc \u0645\u0636\u0631 \u0631\u0627 \u062f\u0648\u0631 \u0645\u06cc \u0632\u0646\u06cc\u0645.\u0628\u0627 \u0627\u0646\u06af\u06cc\u0632\u0647 \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0648\u0631\u062f \u060c \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 DPSUR \u0631\u0627 \u067e\u06cc\u0634\u0646\u0647\u0627\u062f \u0645\u06cc \u06a9\u0646\u062f \u060c \u06cc\u06a9 \u0686\u0627\u0631\u0686\u0648\u0628 \u0622\u0645\u0648\u0632\u0634 \u0645\u062a\u0641\u0627\u0648\u062a \u062e\u0635\u0648\u0635\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0628\u0647 \u0631\u0648\u0632\u0631\u0633\u0627\u0646\u06cc \u0647\u0627 \u0648 \u0627\u0646\u062a\u0634\u0627\u0631 \u0627\u0646\u062a\u062e\u0627\u0628\u06cc \u060c \u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0634\u06cc\u0628 \u062d\u0627\u0635\u0644 \u0627\u0632 \u0647\u0631 \u062a\u06a9\u0631\u0627\u0631 \u0628\u0631 \u0627\u0633\u0627\u0633 \u06cc\u06a9 \u062a\u0633\u062a \u0627\u0639\u062a\u0628\u0627\u0631 \u0633\u0646\u062c\u06cc \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u06cc \u0634\u0648\u062f \u0648 \u0641\u0642\u0637 \u0622\u0646 \u0628\u0647 \u0631\u0648\u0632\u0631\u0633\u0627\u0646\u06cc \u0647\u0627\u06cc \u0645\u0646\u062a\u0647\u06cc \u0628\u0647 \u0647\u0645\u06af\u0631\u0627\u06cc\u06cc \u0628\u0631 \u0631\u0648\u06cc \u0645\u062f\u0644 \u0627\u0639\u0645\u0627\u0644 \u0645\u06cc \u0634\u0648\u062f.\u0628\u0647 \u0627\u06cc\u0646 \u062a\u0631\u062a\u06cc\u0628 \u060c DPSUR \u0622\u0645\u0648\u0632\u0634 \u0631\u0627 \u062f\u0631 \u062c\u0647\u062a \u062f\u0631\u0633\u062a \u062a\u0636\u0645\u06cc\u0646 \u0645\u06cc \u06a9\u0646\u062f \u0648 \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0647 \u0647\u0645\u06af\u0631\u0627\u06cc\u06cc \u0633\u0631\u06cc\u0639\u062a\u0631 \u0627\u0632 DPSGD \u0628\u0631\u0633\u062f.\u0686\u0627\u0644\u0634 \u0647\u0627\u06cc \u0627\u0635\u0644\u06cc \u062f\u0631 \u062f\u0648 \u062c\u0646\u0628\u0647 \u0646\u0647\u0641\u062a\u0647 \u0627\u0633\u062a &#8211; \u0646\u06af\u0631\u0627\u0646\u06cc \u0647\u0627\u06cc \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u062d\u0631\u06cc\u0645 \u062e\u0635\u0648\u0635\u06cc \u0646\u0627\u0634\u06cc \u0627\u0632 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0634\u06cc\u0628 \u0648 \u0627\u0633\u062a\u0631\u0627\u062a\u0698\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0634\u06cc\u0628 \u0628\u0631\u0627\u06cc \u0628\u0647 \u0631\u0648\u0632\u0631\u0633\u0627\u0646\u06cc \u0645\u062f\u0644.\u0628\u0631\u0627\u06cc \u067e\u0631\u062f\u0627\u062e\u062a\u0646 \u0628\u0647 \u0686\u0627\u0644\u0634 \u0647\u0627 \u060c DPSUR \u06cc\u06a9 \u0627\u0633\u062a\u0631\u0627\u062a\u0698\u06cc \u0642\u0637\u0639 \u0628\u0631\u0627\u06cc \u0628\u0647 \u0631\u0648\u0632\u0631\u0633\u0627\u0646\u06cc \u062a\u0635\u0627\u062f\u0641\u06cc \u0648 \u0645\u06a9\u0627\u0646\u06cc\u0633\u0645 \u0622\u0633\u062a\u0627\u0646\u0647 \u0628\u0631\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0634\u06cc\u0628 \u0645\u0639\u0631\u0641\u06cc \u0645\u06cc \u06a9\u0646\u062f.\u0622\u0632\u0645\u0627\u06cc\u0634\u0627\u062a \u0627\u0646\u062c\u0627\u0645 \u0634\u062f\u0647 \u0628\u0631 \u0631\u0648\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc MNIST \u060c FMNIST \u060c CIFAR-10 \u0648 IMDB \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 DPSUR \u0628\u0647 \u0637\u0648\u0631 \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647\u06cc \u0627\u0632 \u0622\u062b\u0627\u0631 \u0642\u0628\u0644\u06cc \u0627\u0632 \u0646\u0638\u0631 \u0633\u0631\u0639\u062a \u0647\u0645\u06af\u0631\u0627\u06cc\u06cc \u0648 \u0627\u0628\u0632\u0627\u0631 \u0645\u062f\u0644 \u0628\u0647\u062a\u0631 \u0639\u0645\u0644 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<table class=\"table table-bordered table-primary\">\r\n<tr>\r\n\t<td>\r\n\t\u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0632\u0628\u0627\u0646 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc \u0627\u0633\u062a.\r\n\t<\/td>\r\n<\/tr>\r\n\t\r\n<tr>\r\n\t<td>\r\n     \u0628\u0631\u0627\u06cc \u0633\u0641\u0627\u0631\u0634 \u062a\u0631\u062c\u0645\u0647 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0647 \u06cc\u06a9\u06cc \u0627\u0632 \u0631\u0648\u0634 \u0647\u0627\u06cc \u062a\u0645\u0627\u0633\u060c \u067e\u06cc\u0627\u0645\u06a9\u060c \u062a\u0644\u06af\u0631\u0627\u0645 \u0648 \u06cc\u0627 \u0648\u0627\u062a\u0633 \u0627\u067e \u0628\u0627 \u0634\u0645\u0627\u0631\u0647 \u0632\u06cc\u0631 \u062a\u0645\u0627\u0633 \u0628\u06af\u06cc\u0631\u06cc\u062f:\r\n\t<br \/><br \/>\r\n\t09395106248\r\n\t\t\r\n\t\t\r\n\t<br \/><br \/>\r\n\t\t\u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0634\u0631\u0627\u06cc\u0637 \u062a\u0631\u062c\u0645\u0647 \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u06cc\u0631 \u0627\u0633\u062a:\r\n\t\t<br \/>\r\n\t\t<ul>\r\n\t\t<li>\r\n\t\t\u0642\u06cc\u0645\u062a \u0647\u0631 \u0635\u0641\u062d\u0647 \u062a\u0631\u062c\u0645\u0647 \u062f\u0631 \u062d\u0627\u0644 \u062d\u0627\u0636\u0631 40 \u0647\u0632\u0627\u0631 \u062a\u0648\u0645\u0627\u0646 \u0645\u06cc \u0628\u0627\u0634\u062f. \r\n\t\t<\/li>\r\n\t\t<li>\r\n\t\t\u062a\u062d\u0648\u06cc\u0644 \u0645\u0642\u0627\u0644\u0647 \u062a\u0631\u062c\u0645\u0647 \u0634\u062f\u0647 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u0648\u0631\u062f \u0645\u06cc \u0628\u0627\u0634\u062f.\r\n\t\t<\/li>\r\n\t\t<li>\r\n\t\t\u0632\u0645\u0627\u0646 \u062a\u062d\u0648\u06cc\u0644 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647 \u062f\u0631 \u0635\u0648\u0631\u062a \u062f\u0627\u0634\u062a\u0646 \u062a\u0639\u062f\u0627\u062f \u0635\u0641\u062d\u0627\u062a \u0639\u0627\u062f\u06cc \u0628\u06cc\u0646 3 \u062a\u0627 5 \u0631\u0648\u0632 \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f.\r\n\t\t<\/li>\r\n\t\t\r\n\t\t<li>\r\n\t\t\u06a9\u06cc\u0641\u06cc\u062a \u062a\u0631\u062c\u0645\u0647 \u0628\u0633\u06cc\u0627\u0631 \u0628\u0627\u0644\u0627 \u0645\u06cc \u0628\u0627\u0634\u062f. \u0645\u0642\u0627\u0644\u0647 \u0641\u0642\u0637 \u062a\u0648\u0633\u0637 \u0645\u062a\u0631\u062c\u0645\u06cc\u0646 \u0628\u0627 \u0645\u062f\u0631\u06a9 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u06cc \u0645\u062a\u0631\u062c\u0645\u06cc \u062a\u0631\u062c\u0645\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.\r\n\t\t<\/li>\r\n\t\t<li>\r\n\t\t\u06a9\u0644\u06cc\u0647 \u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 \u0646\u06cc\u0632 \u062f\u0631 \u0641\u0627\u06cc\u0644 \u062a\u062d\u0648\u06cc\u0644\u06cc \u0648\u0631\u062f \u062f\u0631\u062c \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.\r\n\t\t<\/li>\r\n\t<\/td>\r\n\t\r\n\t\r\n<\/tr>\r\n<\/table>\r\n\r\n\r\n\n","protected":false},"excerpt":{"rendered":"<p>\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release \u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc 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content=\"https:\/\/express24.ir\/d\/product\/\u0645\u0642\u0627\u0644\u0647-dpsur-\u062a\u0633\u0631\u06cc\u0639-\u0646\u0632\u0648\u0644-\u06af\u0631\u0627\u062f\u06cc\u0627\u0646-\u062a\u0635\u0627\u062f\u0641\u06cc-\u062e\u0635\u0648\u0635\/\" \/>\n<meta property=\"og:site_name\" content=\"\u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0627\u06a9\u0633\u067e\u0631\u0633\" \/>\n<meta property=\"og:image\" content=\"https:\/\/express24.ir\/d\/wp-content\/uploads\/2024\/02\/Elsevier_logo_2019.svg_.png\" \/>\n\t<meta property=\"og:image:width\" content=\"440\" \/>\n\t<meta property=\"og:image:height\" content=\"486\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u0632\u0645\u0627\u0646 \u062a\u0642\u0631\u06cc\u0628\u06cc \u0628\u0631\u0627\u06cc \u062e\u0648\u0627\u0646\u062f\u0646\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 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