Anastasiia Koloskova
5 papers · 2021–2023 · 1 venue · across top CS/AI venues
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Achievements
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Interdisciplinary Bridge · Bronze
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Hot Topic Early Bird
Venues
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Research topics
Machine Learning
(5)
Optimization & Theory · Machine Learning
(5)
Artificial Intelligence
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Paradigms · Machine Learning
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Security & Privacy
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Differential Privacy
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
distributed learning
(3)
federated learning
(3)
stochastic optimization
(2)
decentralized learning
(2)
convergence rate
(2)
matrix factorization
(1)
decentralized optimization
(1)
gradient descent
(1)
distributed training
(1)
correlated noise
(1)
spanning tree
(1)
convergence guarantee
(1)
extragradient method
(1)
heterogeneous data
(1)
gradient tracking
(1)
privacy amplification
(1)
model update
(1)
information propagation
(1)
asynchronous stochastic gradient descent
(1)
gossip averaging
(1)
Papers
Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy
NeurIPS 2023
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities
NeurIPS 2022
Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning
NeurIPS 2022
An Improved Analysis of Gradient Tracking for Decentralized Machine Learning
NeurIPS 2021
RelaySum for Decentralized Deep Learning on Heterogeneous Data
NeurIPS 2021