John Rush
5 papers · 2021–2023 · 1 venue · across top CS/AI venues
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Achievements
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🌉
Interdisciplinary Bridge · Bronze
🧭
Keyword Pioneer
Venues
Top co-authors
Research topics
Artificial Intelligence
(4)
Machine Learning
(4)
Application Areas
(4)
Learning Paradigms · Artificial Intelligence
(4)
Security & Privacy
(2)
Differential Privacy
(2)
Deep Learning
(1)
Learning Paradigms · Machine Learning
(1)
Optimization & Theory · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
differential privacy
(4)
federated learning
(3)
matrix factorization
(2)
privacy amplification
(2)
user-level privacy
(2)
linear regression
(1)
correlated noise
(1)
estimation error
(1)
client heterogeneity
(1)
private training
(1)
model personalization
(1)
matrix mechanism
(1)
adaptive stream
(1)
private linear operator
(1)
federated reconstruction
(1)
model-agnostic meta-learning
(1)
partially local federated learning
(1)
stochastic gradient descent
(1)
convex optimization
(1)
collaborative filtering
(1)
Papers
(Amplified) Banded Matrix Factorization: A unified approach to private training
NeurIPS 2023
Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy
NeurIPS 2023
Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams
NeurIPS 2022
Differentially Private Model Personalization
NeurIPS 2021
Federated Reconstruction: Partially Local Federated Learning
NeurIPS 2021