Enayat Ullah
13 papers · 2018–2024 · 4 conferences · across top CS/AI conferences
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Conferences
NIPS (7)
ICML (4)
ALT (1)
COLT (1)
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Research topics
Keywords
differential privacy
(6)
communication efficiency
(3)
generalized linear model
(3)
stochastic gradient descent
(3)
transfer learning
(2)
distributed learning
(2)
federated learning
(2)
stochastic convex optimization
(2)
machine unlearning
(2)
supervised learning
(1)
principal component analysis
(1)
multi-task learning
(1)
non-convex optimization
(1)
finite-sum optimization
(1)
representation learning
(1)
kernel pca
(1)
empirical risk minimization
(1)
model selection
(1)
convex risk minimization
(1)
adversarial training
(1)
Papers
Public-data Assisted Private Stochastic Optimization: Power and Limitations
NIPS 2024
Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates
ALT 2024
Adversarially Robust Multi-task Representation Learning
NIPS 2024
Private Federated Learning with Autotuned Compression
ICML 2023
Optimistic Rates for Multi-Task Representation Learning
NIPS 2023
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization
ICML 2023
From Adaptive Query Release to Machine Unlearning
ICML 2023
Differentially Private Generalized Linear Models Revisited
NIPS 2022
Adversarial Robustness is at Odds with Lazy Training
NIPS 2022
Machine Unlearning via Algorithmic Stability
COLT 2021
FetchSGD: Communication-Efficient Federated Learning with Sketching
ICML 2020
Communication-efficient Distributed SGD with Sketching
NIPS 2019
Streaming Kernel PCA with $\tilde{O}(\sqrt{n})$ Random Features
NIPS 2018