An Xu
7 papers · 2020–2022 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(13)
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory · Machine Learning
(6)
Deep Learning
(4)
Optimization & Theory · Deep Learning
(4)
Artificial Intelligence
(2)
Application Areas
(2)
Architectures
(2)
Learning Paradigms · Artificial Intelligence
(2)
Computer Vision
(1)
Domain-Specific
(1)
Learning Paradigms · Machine Learning
(1)
Keywords
communication efficiency
(3)
neural network
(3)
error feedback
(2)
client drift
(2)
gradient compression
(2)
federated learning
(2)
distributed training
(2)
distributed learning
(2)
distributed sgd
(2)
communication efficient
(1)
deep learning optimization
(1)
cross-silo federated learning
(1)
personalized learning
(1)
linear speedup
(1)
parallel training
(1)
local sgd
(1)
error-compensated compression
(1)
random sparsification
(1)
momentum sgd
(1)
communication-efficient learning
(1)
Papers
Auto-FedRL: Federated Hyperparameter Optimization for Multi-Institutional Medical Image Segmentation
ECCV 2022
Closing the Generalization Gap of Cross-Silo Federated Medical Image Segmentation
CVPR 2022
Coordinating Momenta for Cross-Silo Federated Learning
AAAI 2022
Detached Error Feedback for Distributed SGD with Random Sparsification
ICML 2022
On the Convergence of Communication-Efficient Local SGD for Federated Learning
AAAI 2021
Step-Ahead Error Feedback for Distributed Training with Compressed Gradient
AAAI 2021
On the Acceleration of Deep Learning Model Parallelism With Staleness
CVPR 2020