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

2021-12-13

Presented at the Conference on Neural Information Processing Systems (December 2021), Online, Virtual

Additional Metadata
Conference	Conference on Neural Information Processing Systems
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., Nguyen, L., & Nguyen, P. H. (2021). Bringing differential private SGD to practice: On the independence of Gaussian Noise and the Number of Training Rounds.

See Also
techReport On the Tightness of the Moment Accountant for DP-SGD 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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