Jinming Xu
Orcid: 0000-0003-3250-963XAffiliations:
- Zhejiang University, College of Control Science and Engineering, Hangzhou, China
- Purdue University, School of Industrial Engineering, West-Lafayette, IN, USA (former)
- Arizona State University, Ira A. Fulton Schools of Engineering, Tempe, AZ, USA (former)
- Nanyang Technological University, Singapore (PhD 2016)
According to our database1,
Jinming Xu
authored at least 35 papers
between 2013 and 2023.
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Bibliography
2023
Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis.
CoRR, 2023
Robust Fully-Asynchronous Methods for Distributed Training over General Architecture.
CoRR, 2023
Accurate and Robust State Estimation via Fusion of Visual-Inertial-UWB with Time Synchronization.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
Asynchronous Byzantine-Robust Stochastic Aggregation with Variance Reduction for Distributed Learning.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Inducing Desired Equilibrium in Taxi Repositioning Problem with Adaptive Incentive Design.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
On the Computation-Communication Trade-Off with A Flexible Gradient Tracking Approach.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology.
CoRR, 2022
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology.
Proceedings of the International Conference on Machine Learning, 2022
On Necessary and Sufficient Conditions for Identifiability and Identification of Switching Dynamical Networks.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Stochastic Gradient Tracking Methods for Distributed Personalized Optimization over Networks.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Lithography Hotspot Detection via Heterogeneous Federated Learning with Local Adaptation.
Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022
2021
Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis.
IEEE Trans. Signal Process., 2021
IEEE Trans. Signal Inf. Process. over Networks, 2021
IEEE Trans. Autom. Control., 2021
Decentralized Coordination Between Economic Dispatch and Demand Response in Multi-Energy Systems.
CoRR, 2021
A Decentralized Algorithm for Coordination Between Economic Dispatch and Demand Response in Multi-Energy Systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
Privacy-Preserving Distributed Online Optimization Over Unbalanced Digraphs via Subgradient Rescaling.
IEEE Trans. Control. Netw. Syst., 2020
Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis.
CoRR, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
IEEE Trans. Control. Netw. Syst., 2019
A Unified Contraction Analysis of a Class of Distributed Algorithms for Composite Optimization.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019
2018
Mitigating Quantization Effects on Distributed Sensor Fusion: A Least Squares Approach.
IEEE Trans. Signal Process., 2018
IEEE Trans. Autom. Control., 2018
IEEE Trans. Autom. Control., 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2016
A distributed simultaneous perturbation approach for large-scale dynamic optimization problems.
Autom., 2016
A least square approach for distributed sensor fusion in bandwidth-constrained sensor networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
A forward-backward Bregman splitting scheme for regularized distributed optimization problems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
Averaging based distributed estimation algorithm for rate-constrained sensor networks with additive quantization model.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Augmented distributed gradient methods for multi-agent optimization under uncoordinated constant stepsizes.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
2013
Distributed Extremum Seeking Control of networked large-scale systems under constraints.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013