Elnur Gasanov
7 papers · 2018–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(2)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory · Machine Learning
(7)
Mathematics & Optimization
(3)
Optimization
(3)
Artificial Intelligence
(2)
Computer Science
(2)
Deep Learning
(2)
Learning Paradigms · Artificial Intelligence
(2)
Optimization & Theory · Deep Learning
(2)
Systems
(2)
Application Areas
(1)
Learning Paradigms · Machine Learning
(1)
Keywords
distributed training
(2)
stochastic optimization
(2)
error feedback
(2)
communication efficiency
(2)
federated learning
(2)
coordinate descent
(2)
randomized coordinate descent
(2)
distributed optimization
(2)
communication complexity
(1)
strong convexity
(1)
convergence analysis
(1)
condition number
(1)
complexity analysis
(1)
convex optimization
(1)
strongly convex optimization
(1)
decentralized optimization
(1)
network optimization
(1)
linear convergence
(1)
conjugate gradient
(1)
distributed learning
(1)
Papers
Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants
ICLR 2024
Understanding Progressive Training Through the Framework of Randomized Coordinate Descent
AISTATS 2024
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation
ICML 2022
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning
AISTATS 2022
Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks
NeurIPS 2021
From Local SGD to Local Fixed-Point Methods for Federated Learning
ICML 2020
Stochastic Spectral and Conjugate Descent Methods
NeurIPS 2018