Anastasiia Koloskova
5 papers · 2021–2023 · 1 conference · across top CS/AI conferences
Achievements
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π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π£ Hot Topic Early Bird
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Cross-Pollinator
(14)
Conferences
NIPS (5)
Top co-authors
Research topics
Keywords
distributed learning
(3)
federated learning
(3)
decentralized learning
(2)
stochastic optimization
(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)
heterogeneous datum
(1)
gradient tracking
(1)
privacy amplification
(1)
model update
(1)
information propagation
(1)
asynchronous stochastic gradient descent
(1)
gossip averaging
(1)
delay-adaptive learning rate
(1)
Papers
Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy
NIPS 2023
Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning
NIPS 2022
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities
NIPS 2022
An Improved Analysis of Gradient Tracking for Decentralized Machine Learning
NIPS 2021
RelaySum for Decentralized Deep Learning on Heterogeneous Data
NIPS 2021