Xinmeng Huang
16 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
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Keywords
decentralized optimization
(5)
stochastic optimization
(5)
convergence rate
(3)
distributed learning
(3)
multi-agent system
(2)
stochastic gradient
(2)
non-convex optimization
(2)
language model
(2)
communication compression
(2)
uncertainty quantification
(2)
bilevel optimization
(2)
convergence analysis
(2)
distributed optimization
(2)
communication efficiency
(2)
network topology
(2)
primal-dual optimization
(1)
model evaluation
(1)
preference alignment
(1)
model calibration
(1)
policy optimization
(1)
Papers
Decentralized Bilevel Optimization: A Perspective from Transient Iteration Complexity
JMLR 2025
Momentum Benefits Non-iid Federated Learning Simply and Provably
ICLR 2024
Distributed Bilevel Optimization with Communication Compression
ICML 2024
Uncertainty in Language Models: Assessment through Rank-Calibration
EMNLP 2024
SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization
NIPS 2024
One-Shot Safety Alignment for Large Language Models via Optimal Dualization
NIPS 2024
Stochastic Controlled Averaging for Federated Learning with Communication Compression
ICLR 2024
Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD
JMLR 2023
Unbiased Compression Saves Communication in Distributed Optimization: When and How Much?
NIPS 2023
Demystifying Disagreement-on-the-Line in High Dimensions
ICML 2023
T-Cal: An Optimal Test for the Calibration of Predictive Models
JMLR 2023
Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints
NIPS 2022
Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression
NIPS 2022
Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization
NIPS 2022
DecentLaM: Decentralized Momentum SGD for Large-Batch Deep Training
ICCV 2021
An Improved Analysis and Rates for Variance Reduction under Without-replacement Sampling Orders
NIPS 2021