Andrew Lowy
8 papers · 2023–2024 · 5 conferences · across top CS/AI conferences
Achievements
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Interdisciplinary Bridge
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Keyword Pioneer
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Conference Polyglot
(5)
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Cross-Pollinator
(12)
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Hot Topic Early Bird
Conferences
ICML (3)
ICLR (2)
AISTATS (1)
ALT (1)
NIPS (1)
Top co-authors
Keywords
differential privacy
(3)
non-convex optimization
(2)
excess risk
(2)
gradient descent
(1)
stochastic convex optimization
(1)
heterogeneous datum
(1)
lipschitz continuous loss
(1)
serverless architecture
(1)
user-level privacy
(1)
inter-silo privacy
(1)
federated learning
(1)
lipschitz parameter
(1)
stochastic optimization
(1)
privacy-preserving learning
(1)
Papers
Faster Algorithms for User-Level Private Stochastic Convex Optimization
NIPS 2024
Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses
ICML 2024
Optimal Differentially Private Model Training with Public Data
ICML 2024
How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization
ICML 2024
Stochastic Differentially Private and Fair Learning
ICLR 2023
Private Non-Convex Federated Learning Without a Trusted Server
AISTATS 2023
Private Stochastic Optimization with Large Worst-Case Lipschitz Parameter: Optimal Rates for (Non-Smooth) Convex Losses and Extension to Non-Convex Losses
ALT 2023
Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses
ICLR 2023