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Research
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Private Federated Learning with Autotuned Compression
Enayat Ullah, Christopher A. Choquette-Choo, Peter Kairouz, Sewoong Oh
Accepted at ICML 2023
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From Adaptive Query Release to Machine Unlearning
Enayat Ullah, Raman Arora
Accepted at ICML 2023
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Faster Rates of Convergence to Stationary Points in Differentially Private Optimization
Raman Arora, Raef Bassily, Tomás González, Cristóbal Guzmán, Michael Menart, Enayat Ullah
Accepted at ICML 2023
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Differentially Private Generalized Linear Models Revisited
Raman Arora, Raef Bassily, Cristóbal Guzmán, Michael Menart, Enayat Ullah
Published at NeurIPS 2022, short version at TPDP 2022
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Adversarial Robustness is at odds with Lazy Training
Yunjuan Wang, Enayat Ullah, Poorya Mianjy, Raman Arora
Published at NeurIPS 2022
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Machine Unlearning via Algorithmic Stability
Enayat Ullah, Tung Mai, Anup Rao, Ryan Rossi, Raman Arora
Published at COLT 2021, short version at FORC 2021
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FetchSGD: Communication-efficient Federated learning with Sketching
Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Vladimir Braverman, Joseph Gonzalez, Ion Stoica, Raman Arora
Published at ICML 2020
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Communication-efficient Distributed SGD with Sketching
Nikita Ivkin, Daniel Rothchild, Enayat Ullah, Vladimir Braverman, Ion Stoica, Raman Arora
Published at NeurIPS 2019
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Improved Algorithms for Time-Decay Streams
Vladimir Braverman, Harry Lang, Enayat Ullah, Samson Zhou
Published at APPROX 2019
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Streaming Kernel PCA with \(\tilde O(\sqrt{n})\) Random Features
Enayat Ullah, Poorya Mianjy, Teodor V Marinov, Raman Arora
Published at NeurIPS 2018
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website
credits
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