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Differentially Private Stochastic Gradient Descent (DP-SGD) is a key method for training machine learning models like neural networks while ensuring privacy. It modifies the standard gradient descent ...

Lucas is a writer and narrative designer from Argentina with over 15 years of experience writing for games and news. He keeps a watchful eye at the gaming world and loves to write about the hottest ...

Abstract: Remote source coding for signal estimation via random sampling is analyzed. We consider a stationary Gaussian source to be estimated from samples randomly scattered according to a ...

Abstract: Packet sampling measurement is a key technique in high-speed network traffic monitoring and management. In this paper, packet sampling techniques are introduced and analyzed after the ...