Ayfer Ozgur
15 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (26)
π
Keyword Champion
(4)
π€
Dynamic Duo
(11)
ποΈ
Keyword Collector
(67)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(15)
Optimization & Theory
(11)
Mathematics & Optimization
(10)
Application Areas
(9)
Mathematics
(6)
Optimization
(6)
Artificial Intelligence
(5)
Security & Privacy
(4)
Differential Privacy
(4)
Learning Paradigms Β· Artificial Intelligence
(4)
Learning Paradigms Β· Machine Learning
(3)
Deep Learning
(2)
Computer Science
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Keywords
differential privacy
(8)
communication constraint
(5)
distributed mean estimation
(4)
federated learning
(4)
secure aggregation
(3)
distribution learning
(2)
fisher information
(2)
optimal transport
(2)
distributed learning
(2)
information theory
(2)
privacy amplification
(2)
frequency estimation
(2)
communication complexity
(2)
communication efficiency
(2)
minimax risk
(2)
distribution estimation
(2)
sparse distribution
(1)
parameter estimation
(1)
mean estimation
(1)
conformal prediction
(1)
Papers
Leveraging Randomness in Model and Data Partitioning for Privacy Amplification
ICML 2025
Federated Experiment Design under Distributed Differential Privacy
AISTATS 2024
Understanding Entropic Regularization in GANs
JMLR 2024
Universal Exact Compression of Differentially Private Mechanisms
NeurIPS 2024
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection
NeurIPS 2023
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation
NeurIPS 2023
Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation
NeurIPS 2023
The communication cost of security and privacy in federated frequency estimation
AISTATS 2023
The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation
ICML 2022
Batched Thompson Sampling
NeurIPS 2021
Breaking The Dimension Dependence in Sparse Distribution Estimation under Communication Constraints
COLT 2021
Pointwise Bounds for Distribution Estimation under Communication Constraints
NeurIPS 2021
Breaking the Communication-Privacy-Accuracy Trilemma
NeurIPS 2020
Lower Bounds for Learning Distributions under Communication Constraints via Fisher Information
JMLR 2020
Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints
COLT 2018