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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 ...

For the past five years, new Fortnite players were simply thrown into the matches of battle royale and had to learn the game by themselves. Now, players finally have a way to learn the basics of ...

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 ...