← Authors

Hugh Brendan McMahan

6 papers · 2021–2025 · 3 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (3) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15)

Conferences

ICLR (3) ICML (2) EMNLP (1)

Top co-authors

Sashank J. Reddi (2) Manzil Zaheer (2) Keith Rush (1) Zachary Charles (1) Jakub Konečný (1) Galen Andrew (1) Yanxiang Zhang (1) Sanjiv Kumar (1) Peter Kairouz (1) Tian Li (1)

Research topics

Differential Privacy (1)

Keywords

differential privacy (2) stochastic gradient descent (1) matrix factorization (1) model training (1) language model (1) privacy-utility trade-off (1) gradient perturbation (1) private machine learning (1) federated learning (1) tree aggregation (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