Co-occurring keywords
Papers
Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework
NIPS 2022
Adaptive Sampling for Estimating Distributions: A Bayesian Upper Confidence Bound Approach
L4DC 2021
Sample Elicitation
AISTATS 2021
Locally Private Hypothesis Selection
COLT 2020
Context Aware Local Differential Privacy
ICML 2020
Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Distributions
NIPS 2020