Jinming Xu
6 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(11)
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Hot Topic Early Bird
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Research topics
Keywords
distributed optimization
(3)
differential privacy
(2)
federated learning
(2)
non-convex optimization
(2)
variance reduction
(2)
data heterogeneity
(2)
gradient tracking
(2)
decentralized learning
(2)
decentralized optimization
(1)
stochastic optimization
(1)
minimax optimization
(1)
distributed stochastic bilevel optimization
(1)
primal-dual algorithm
(1)
network optimization
(1)
bilevel optimization
(1)
convergence rate
(1)
sublinear convergence rate
(1)
gradient clipping
(1)
adaptive step size
(1)
privacy budget
(1)
Papers
Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis
JMLR 2025
Dyn-D^2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee
IJCAI 2025
Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes
NeurIPS 2024
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds
IJCAI 2024
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology
ICML 2022
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks
AISTATS 2020