John Rush
5 papers · 2021–2023 · 1 conference · across top CS/AI conferences
Achievements
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🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(15)
Conferences
NIPS (5)
Top co-authors
Research topics
Keywords
differential privacy
(4)
federated learning
(3)
privacy amplification
(2)
user-level privacy
(2)
matrix factorization
(2)
linear regression
(1)
correlated noise
(1)
estimation error
(1)
client heterogeneity
(1)
private training
(1)
model personalization
(1)
matrix mechanism
(1)
model-agnostic meta learning
(1)
adaptive stream
(1)
private linear operator
(1)
federated reconstruction
(1)
partially local federated learning
(1)
stochastic gradient descent
(1)
convex optimization
(1)
collaborative filtering
(1)
Papers
Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy
NIPS 2023
(Amplified) Banded Matrix Factorization: A unified approach to private training
NIPS 2023
Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams
NIPS 2022
Federated Reconstruction: Partially Local Federated Learning
NIPS 2021
Differentially Private Model Personalization
NIPS 2021