Anastasia Koloskova
10 papers · 2019–2025 · 2 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (2) π Academic Marathon (6) π Cross-Pollinator (3)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(11)
π
Century Club
(10)
Conferences
ICML (7)
AISTATS (3)
Top co-authors
Keywords
decentralized optimization
(3)
gossip algorithm
(2)
stochastic gradient descent
(2)
distributed learning
(1)
deep learning
(1)
neural network optimization
(1)
l1 regularization
(1)
variance reduction
(1)
coordinate descent
(1)
linear convergence
(1)
support vector machine
(1)
convergence guarantee
(1)
gradient clipping
(1)
communication compression
(1)
bias analysis
(1)
consensus algorithm
(1)
federated averaging
(1)
federated optimization
(1)
asynchronous stochastic gradient descent
(1)
graph communication
(1)
Papers
Certified Unlearning for Neural Networks
ICML 2025
The Privacy Power of Correlated Noise in Decentralized Learning
ICML 2024
Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization
AISTATS 2024
On Convergence of Incremental Gradient for Non-convex Smooth Functions
ICML 2024
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees
ICML 2023
Consensus Control for Decentralized Deep Learning
ICML 2021
A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free!
AISTATS 2021
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
ICML 2020
Efficient Greedy Coordinate Descent for Composite Problems
AISTATS 2019
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication
ICML 2019