Xun Qian
9 papers · 2019–2023 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(11)
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory · Machine Learning
(9)
Mathematics & Optimization
(6)
Optimization
(6)
Artificial Intelligence
(2)
Application Areas
(2)
Learning Paradigms · Machine Learning
(2)
Learning Paradigms · Artificial Intelligence
(2)
Deep Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
stochastic gradient descent
(4)
communication compression
(3)
distributed optimization
(3)
federated learning
(3)
variance reduction
(2)
communication efficiency
(2)
finite-sum optimization
(2)
arbitrary sampling
(2)
error compensation
(2)
communication efficient
(2)
newton method
(2)
second-order method
(2)
second-order optimization
(1)
convergence analysis
(1)
distributed training
(1)
non-convex optimization
(1)
stochastic optimization
(1)
gradient descent
(1)
importance sampling
(1)
gradient compression
(1)
Papers
Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity
AISTATS 2023
Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning
AISTATS 2022
FedNL: Making Newton-Type Methods Applicable to Federated Learning
ICML 2022
Distributed Second Order Methods with Fast Rates and Compressed Communication
ICML 2021
Error Compensated Distributed SGD Can Be Accelerated
NeurIPS 2021
L-SVRG and L-Katyusha with Arbitrary Sampling
JMLR 2021
Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization
ICML 2020
SAGA with Arbitrary Sampling
ICML 2019
SGD: General Analysis and Improved Rates
ICML 2019