Ayfer Ozgur
Professor
Studies information theory and communication-efficient, private distributed learning.
Ayfer Ozgur's lab at Stanford works on signal processing & information theory, learning theory & optimization and efficient training & inference. 21 papers since 2023, 8 at top venues, mostly ISIT and NeurIPS. 5 PhD students. 6 alumni, most often to Google and Qualcomm. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 38%
- PhD students
- 5
- MS students
- 0
- alumni listed
- 6
Papers by yearfrom DBLP, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 5 papers2025 · T1 1
- 6 papers2024 · T1 3
- 9 papers2023 · T1 4
T1 venuesOtherVenues: ISIT, NeurIPS, AISTATS, ICC, ICML
Research focuspaper titles that use each topic's words
- Signal processing & information theory5 papers
- private2 papers
- Efficient training & inference1 paper
- Learning theory & optimization0 papers
- distributed learning0 papers
Paper list
From DBLP.
20255 papers
- ISITA Markov Property of Empirical Distributions and the Performance of Compression-Based Denoisers (opens in a new tab)
- IEEE J. Sel. Areas Commun.Guest Editorial: Rethinking the Information Identification, Representation, and Transmission Pipeline: New Approaches to Data Compression and Communication (opens in a new tab)
- IEEE J. Sel. Areas Commun.Information Compression in the AI Era: Recent Advances and Future Challenges (opens in a new tab)
- ICML (T1)Leveraging Randomness in Model and Data Partitioning for Privacy Amplification (opens in a new tab)
- ICCMajority Vote Compressed Sensing for Over-the-Air Histogram Estimation (opens in a new tab)
20246 papers
- AISTATS (T1)Federated Experiment Design under Distributed Differential Privacy (opens in a new tab)
- ISITLq Lower Bounds on Distributed Estimation via Fisher Information (opens in a new tab)
- ICCOver-the-Air Histogram Estimation (opens in a new tab)
- ISITTraining Generative Models from Privatized Data via Entropic Optimal Transport (opens in a new tab)
- JMLR (T1)Understanding Entropic Regularization in GANs (opens in a new tab)
- NeurIPS (T1)Universal Exact Compression of Differentially Private Mechanisms (opens in a new tab)
20239 papers
- IEEE Trans. Inf. TheoryAdaptive Group Testing on Networks With Community Structure: The Stochastic Block Model (opens in a new tab)
- IEEE Trans. Inf. TheoryAsymptotic Performance of Thompson Sampling for Batched Multi-Armed Bandits (opens in a new tab)
- IEEE Trans. Inf. TheoryBreaking the Communication-Privacy-Accuracy Trilemma (opens in a new tab)
- NeurIPS (T1)Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection (opens in a new tab)
- NeurIPS (T1)Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation (opens in a new tab)
- IEEE Trans. Inf. TheoryInformation Constrained Optimal Transport: From Talagrand, to Marton, to Cover (opens in a new tab)
- ISITNoisy Adaptive Group Testing for Community-Oriented Models (opens in a new tab)
- NeurIPS (T1)Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation (opens in a new tab)
- AISTATS (T1)The communication cost of security and privacy in federated frequency estimation (opens in a new tab)
Where alumni went6 listed, 50% to industry
Industry 2Academia 2
Most often to
- Qualcomm
Also to
- Stanford University
- the University of Delaware
Apply to StanfordFall 2027
Stanford Computer Science PhD
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- Single round
- Opens
- GRE
- See program page
- English
- TOEFL/IELTS
- Fee
- See program page
Confirmed on the program page.
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