Enayat Ullah

I am a Ph.D. student in the department of Computer Science at Johns Hopkins University, advised by Raman Arora. My research interest is in Machine Learning, Optimization and Differential privacy. I graduated from Indian Intitute of Technology Kanpur with a Bachelors-Masters degree in Mathematics and Computing. At IIT Kanpur, I worked with Purushottam Kar, Debasis Kundu and Prateek Jain.


Machine Unlearning via Algorithmic Stability
Enayat Ullah, Tung Mai, Anup Rao, Ryan Rossi, Raman Arora
Published at COLT 2021

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

Communication-efficient Distributed SGD with Sketching
Nikita Ivkin, Daniel Rothchild, Enayat Ullah, Vladimir Braverman, Ion Stoica, Raman Arora
Published at NeurIPS 2019

Improved Algorithms for Time-Decay Streams
Vladimir Braverman, Harry Lang, Enayat Ullah, Samson Zhou
Published at APPROX 2019

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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