Segui
Jinming Xu 徐金明
Titolo
Citata da
Citata da
Anno
Push–pull gradient methods for distributed optimization in networks
S Pu, W Shi, J Xu, A Nedić
IEEE Transactions on Automatic Control 66 (1), 1-16, 2020
3372020
Augmented distributed gradient methods for multi-agent optimization under uncoordinated constant stepsizes
J Xu, S Zhu, YC Soh, L Xie
2015 IEEE 54th Annual Conference on Decision and Control (CDC), 2055-2060, 2015
3262015
Convergence of Asynchronous Distributed Gradient Methods over Stochastic Networks
J Xu, S Zhu, YC Soh, L Xie
IEEE Transactions on Automatic Control 63 (2), 434-448, 2018
1952018
Modeling regular occupancy in commercial buildings using stochastic models
Z Chen, J Xu, YC Soh
Energy and Buildings 103, 216-223, 2015
992015
Distributed algorithms for composite optimization: Unified framework and convergence analysis
J Xu, Y Tian, Y Sun, G Scutari
IEEE Transactions on Signal Processing 69, 3555 - 3570, 2021
782021
Privacy Preserving Distributed Online Optimization over Unbalanced Digraphs via Subgradient Rescaling
Y Xiong, J Xu, K You, J Liu, L Wu
IEEE Transactions on Control of Network Systems, 2020
592020
A Bregman splitting scheme for distributed optimization over networks
J Xu, S Zhu, YC Soh, L Xie
IEEE Transactions on Automatic Control 63 (11), 3809-3824, 2018
512018
A dual splitting approach for distributed resource allocation with regularization
J Xu, S Zhu, YC Soh, L Xie
IEEE Transactions on Control of Network Systems 6 (1), 403-414, 2019
422019
Accelerated primal-dual algorithms for distributed smooth convex optimization over networks
J Xu, Y Tian, Y Sun, G Scutari
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2020
402020
Mitigating Quantization Effects on Distributed Sensor Fusion: A Least Squares Approach
S Zhu, C Chen, J Xu, X Guan, L Xie, KH Johansson
IEEE Transactions on Signal Processing 66 (13), 3459-3474, 2018
322018
A distributed simultaneous perturbation approach for large-scale dynamic optimization problems
J Xu, YC Soh
Automatica 72, 194-204, 2016
192016
Differentially Private Distributed Resource Allocation via Deviation Tracking
T Ding, S Zhu, C Chen, J Xu, X Guan
IEEE Transactions on Signal and Information Processing over Networks 7, 222-235, 2021
182021
Distributed extremum seeking control of networked large-scale systems under constraints
J Xu, YC Soh
2013 IEEE 52nd Annual Conference on Decision and Control (CDC), 2187-2192, 2013
172013
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology
Y Huang, Y Sun, Z Zhu, C Yan, J Xu
International Conference on Machine Learning (ICML), 9310-9345, 2022
152022
A unified algorithmic framework for distributed composite optimization
J Xu, Y Tian, Y Sun, G Scutari
2020 59th IEEE Conference on Decision and Control (CDC), 2309-2316, 2020
102020
A dual splitting method for distributed economic dispatch in multi-energy systems
Z Wang, J Xu, S Zhu, C Chen
IFAC-PapersOnLine 53 (2), 12566-12571, 2020
82020
A unified contraction analysis of a class of distributed algorithms for composite optimization
J Xu, Y Sun, Y Tian, G Scutari
2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019
72019
A forward-backward Bregman splitting scheme for regularized distributed optimization problems
J Xu, S Zhu, YC Soh, L Xie
2016 IEEE 55th Annual Conference on Decision and Control (CDC), 1093-1098, 2016
72016
Augmented distributed optimization for networked systems
J Xu
Nanyang Technological University, 2016
72016
Lithography hotspot detection via heterogeneous federated learning with local adaptation
X Lin, J Pan, J Xu, Y Chen, C Zhuo
2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 166-171, 2022
62022
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