Xidong Wu
11 papers · 2021–2024 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π Conference Polyglot (7) π Cross-Pollinator (6) π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (23)
π€
Dynamic Duo
(10)
π
Grand Slam
π
Century Club
(11)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(50)
Conferences
AAAI (3)
NIPS (3)
AISTATS (1)
CVPR (1)
ICLR (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
variance reduction
(4)
federated learning
(3)
gradient complexity
(3)
minimax optimization
(3)
stochastic gradient descent
(3)
nonconvex optimization
(2)
stochastic gradient
(2)
communication efficiency
(2)
non-convex optimization
(2)
distributed learning
(2)
network pruning
(1)
composite optimization
(1)
sample complexity
(1)
convergence analysis
(1)
knowledge distillation
(1)
gradient descent
(1)
sparse learning
(1)
distributed optimization
(1)
decentralized optimization
(1)
stochastic optimization
(1)
Papers
On the Role of Server Momentum in Federated Learning
AAAI 2024
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
CVPR 2024
Unbiased Watermark for Large Language Models
ICLR 2024
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems
AAAI 2023
Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization
ICML 2023
AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization
AISTATS 2023
Faster Adaptive Federated Learning
AAAI 2023
Federated Conditional Stochastic Optimization
NIPS 2023
Solving a Class of Non-Convex Minimax Optimization in Federated Learning
NIPS 2023
Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization
IJCAI 2022
Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems
NIPS 2021