Ayfer Ozgur
15 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (5) πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Academic Marathon (7)
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Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(10)
π§
Keyword Pioneer
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Dynamic Duo
(11)
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Century Club
(15)
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Unstoppable
(6)
ποΈ
Keyword Collector
(61)
Conferences
NIPS (7)
AISTATS (2)
COLT (2)
ICML (2)
JMLR (2)
Top co-authors
Research topics
Keywords
differential privacy
(8)
communication constraint
(5)
federated learning
(4)
distributed mean estimation
(4)
secure aggregation
(3)
communication efficiency
(2)
fisher information
(2)
distributed learning
(2)
minimax risk
(2)
information theory
(2)
distribution learning
(2)
optimal transport
(2)
frequency estimation
(2)
communication complexity
(2)
parameter estimation
(1)
sparse distribution
(1)
conformal prediction
(1)
mean estimation
(1)
entropic regularization
(1)
thompson sampling
(1)
Papers
Leveraging Randomness in Model and Data Partitioning for Privacy Amplification
ICML 2025
Understanding Entropic Regularization in GANs
JMLR 2024
Universal Exact Compression of Differentially Private Mechanisms
NIPS 2024
Federated Experiment Design under Distributed Differential Privacy
AISTATS 2024
The communication cost of security and privacy in federated frequency estimation
AISTATS 2023
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation
NIPS 2023
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection
NIPS 2023
Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation
NIPS 2023
The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation
ICML 2022
Breaking The Dimension Dependence in Sparse Distribution Estimation under Communication Constraints
COLT 2021
Batched Thompson Sampling
NIPS 2021
Pointwise Bounds for Distribution Estimation under Communication Constraints
NIPS 2021
Breaking the Communication-Privacy-Accuracy Trilemma
NIPS 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