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2110.06255
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Not all noise is accounted equally: How differentially private learning benefits from large sampling rates
12 October 2021
Friedrich Dörmann
Osvald Frisk
L. Andersen
Christian Fischer Pedersen
FedML
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Papers citing
"Not all noise is accounted equally: How differentially private learning benefits from large sampling rates"
3 / 3 papers shown
Title
Individual Privacy Accounting via a Renyi Filter
Vitaly Feldman
Tijana Zrnic
36
77
0
25 Aug 2020
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
Nicolas Papernot
Abhradeep Thakurta
Shuang Song
Steve Chien
Ulfar Erlingsson
AAML
104
155
0
28 Jul 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
251
2,696
0
15 Sep 2016
1