Andrew Lowy
8 papers · 2023–2024 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(10)
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Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(8)
Application Areas
(5)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
Optimization
(3)
Learning Paradigms · Artificial Intelligence
(2)
Security & Privacy
(1)
Core AI
(1)
Differential Privacy
(1)
Learning Paradigms · Machine Learning
(1)
Mathematics
(1)
Keywords
differential privacy
(7)
excess risk
(3)
heterogeneous data
(2)
non-convex optimization
(2)
federated learning
(2)
stochastic optimization
(2)
stochastic convex optimization
(2)
stationary point
(1)
public data
(1)
error rate
(1)
min-max optimization
(1)
demographic parity
(1)
lipschitz continuous loss
(1)
serverless architecture
(1)
user-level privacy
(1)
private data
(1)
equalized odd
(1)
smooth function
(1)
cross-silo learning
(1)
fair learning
(1)
Papers
Faster Algorithms for User-Level Private Stochastic Convex Optimization
NeurIPS 2024
How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization
ICML 2024
Optimal Differentially Private Model Training with Public Data
ICML 2024
Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses
ICML 2024
Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses
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
Stochastic Differentially Private and Fair Learning
ICLR 2023