Recent advancements in instructing Large Language Models (LLMs) to utili...
We study generalization bounds for noisy stochastic mini-batch iterative...
Differentially private SGD (DP-SGD) is one of the most popular methods f...
We study differentially private (DP) algorithms for stochastic non-conve...
In spite of several notable efforts, explaining the generalization of
de...
While stochastic gradient descent (SGD) and variants have been surprisin...