Bringing differential private SGD to practice: On the independence of Gaussian Noise and the Number of Training Rounds

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Organisation	Computer Security
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	van Dijk, M.E, Nguyen, L. M, & Nguyen, P.H. (2023). Bringing differential private SGD to practice: On the independence of Gaussian Noise and the Number of Training Rounds. In Proceedings NeurIPS (Annual Conference on Neural Information Processing Systems).

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techReport Bringing Differential Private SGD to Practice: On the Independence of Gaussian Noise and the Number of Training Rounds M.E. van Dijk (Marten), N. V. Nguyen (Nhuong), T. N. Nguyen (Toan), L. M. Nguyen (Lam) and P.H. Nguyen (Phuong Ha)

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