Hugh Brendan McMahan
6 papers · 2021–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(4)
Optimization & Theory
(4)
Application Areas
(3)
Security & Privacy
(2)
Core AI
(2)
Differential Privacy
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Paradigms · Machine Learning
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Learning Types
(1)
Optimization
(1)
Keywords
differential privacy
(5)
federated learning
(3)
stochastic gradient descent
(2)
adaptive optimization
(2)
privacy loss
(1)
model training
(1)
language model
(1)
bias-variance tradeoff
(1)
privacy-utility trade-off
(1)
client heterogeneity
(1)
privacy auditing
(1)
gaussian mechanism
(1)
federated averaging
(1)
gradient perturbation
(1)
private machine learning
(1)
tree aggregation
(1)
privacy estimation
(1)
contribution bounding problem
(1)
multi-attribution model
(1)
user-level dp
(1)
Papers
It’s My Data Too: Private ML for Datasets with Multi-User Training Examples
ICML 2025
A Hassle-free Algorithm for Strong Differential Privacy in Federated Learning Systems
EMNLP 2024
One-shot Empirical Privacy Estimation for Federated Learning
ICLR 2024
Differentially Private Adaptive Optimization with Delayed Preconditioners
ICLR 2023
Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
ICML 2023
Adaptive Federated Optimization
ICLR 2021