Constant matters: Fine-grained Complexity of Differentially Private Continual Observation

23 February 2022

Papers citing "Constant matters: Fine-grained Complexity of Differentially Private Continual Observation"

4 / 4 papers shown

Title
An Inversion Theorem for Buffered Linear Toeplitz (BLT) Matrices and Applications to Streaming Differential Privacy H. B. McMahan Krishna Pillutla 26 0 0 30 Apr 2025
Adaptive Batch Size for Privately Finding Second-Order Stationary Points Daogao Liu Kunal Talwar 35 0 0 10 Oct 2024
A Smooth Binary Mechanism for Efficient Private Continual Observation Joel Daniel Andersson Rasmus Pagh 8 11 0 16 Jun 2023
Practical and Private (Deep) Learning without Sampling or Shuffling Peter Kairouz Brendan McMahan Shuang Song Om Thakkar Abhradeep Thakurta Zheng Xu FedML 167 154 0 26 Feb 2021