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Differentially Private Online-to-Batch for Smooth Losses

Differentially Private Online-to-Batch for Smooth Losses

12 October 2022
Qinzi Zhang
Hoang Tran
Ashok Cutkosky
    FedML
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Papers citing "Differentially Private Online-to-Batch for Smooth Losses"

4 / 4 papers shown
Title
Private Zeroth-Order Nonsmooth Nonconvex Optimization
Private Zeroth-Order Nonsmooth Nonconvex Optimization
Qinzi Zhang
Hoang Tran
Ashok Cutkosky
38
4
0
27 Jun 2024
Efficient and Near-Optimal Noise Generation for Streaming Differential
  Privacy
Efficient and Near-Optimal Noise Generation for Streaming Differential Privacy
Krishnamurthy Dvijotham
H. B. McMahan
Krishna Pillutla
Thomas Steinke
Abhradeep Thakurta
35
10
0
25 Apr 2024
Mirror Descent Algorithms with Nearly Dimension-Independent Rates for
  Differentially-Private Stochastic Saddle-Point Problems
Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems
Tomás González
Cristóbal Guzmán
Courtney Paquette
32
3
0
05 Mar 2024
Differentially Private Fine-tuning of Language Models
Differentially Private Fine-tuning of Language Models
Da Yu
Saurabh Naik
A. Backurs
Sivakanth Gopi
Huseyin A. Inan
...
Y. Lee
Andre Manoel
Lukas Wutschitz
Sergey Yekhanin
Huishuai Zhang
134
344
0
13 Oct 2021
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