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A Unifying Framework for Differentially Private Sums under Continual
  Observation

A Unifying Framework for Differentially Private Sums under Continual Observation

18 July 2023
Monika Henzinger
Jalaj Upadhyay
Sarvagya Upadhyay
    FedML
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Papers citing "A Unifying Framework for Differentially Private Sums under Continual Observation"

6 / 6 papers shown
Title
Back to Square Roots: An Optimal Bound on the Matrix Factorization Error for Multi-Epoch Differentially Private SGD
Back to Square Roots: An Optimal Bound on the Matrix Factorization Error for Multi-Epoch Differentially Private SGD
Nikita P. Kalinin
Ryan McKenna
Jalaj Upadhyay
Christoph H. Lampert
89
0
0
17 May 2025
On Differentially Private Counting on Trees
On Differentially Private Counting on Trees
Badih Ghazi
Pritish Kamath
Ravi Kumar
Pasin Manurangsi
Kewen Wu
47
7
0
22 Dec 2022
Almost Tight Error Bounds on Differentially Private Continual Counting
Almost Tight Error Bounds on Differentially Private Continual Counting
Monika Henzinger
Jalaj Upadhyay
Sarvagya Upadhyay
FedML
41
38
0
09 Nov 2022
Improved Differential Privacy for SGD via Optimal Private Linear
  Operators on Adaptive Streams
Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams
S. Denisov
H. B. McMahan
J. Rush
Adam D. Smith
Abhradeep Thakurta
FedML
71
62
0
16 Feb 2022
Differentially Private Algorithms for Graphs Under Continual Observation
Differentially Private Algorithms for Graphs Under Continual Observation
Hendrik Fichtenberger
Monika Henzinger
Lara Ost
30
36
0
28 Jun 2021
Optimizing Histogram Queries under Differential Privacy
Optimizing Histogram Queries under Differential Privacy
Chao Li
Michael Hay
Vibhor Rastogi
G. Miklau
A. Mcgregor
61
351
0
23 Dec 2009
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