On Private and Robust Bandits

6 February 2023

Papers citing "On Private and Robust Bandits"

5 / 5 papers shown

Title
Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups Fengyu Gao Ruiquan Huang Jing Yang FedML 32 0 0 27 Sep 2024
Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses Changyu Gao Andrew Lowy Xingyu Zhou Stephen J. Wright FedML 26 2 0 12 Jul 2024
Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation Kristian Georgiev Samuel B. Hopkins FedML 33 21 0 01 Nov 2022
When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits Achraf Azize D. Basu 23 21 0 06 Sep 2022
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 69 148 0 01 May 2018