Yongqiang Wang

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 22

Top Topics

Differential Privacy

Stochastic Optimization

Differentially Private

Top Venues

IEEE Trans. Autom. Control.

IEEE Trans. Intell. Transp. Syst.

Publications

Yongqiang Wang, Angelia Nedic
Decentralized Gradient Methods With Time-Varying Uncoordinated Stepsizes: Convergence Analysis and Privacy Design. IEEE Trans. Autom. Control. 69 (8) (2024)
Yongqiang Wang, Angelia Nedic
Differentially Private Distributed Algorithms for Aggregative Games With Guaranteed Convergence. IEEE Trans. Autom. Control. 69 (8) (2024)
Yongqiang Wang, Angelia Nedic
Tailoring Gradient Methods for Differentially Private Distributed Optimization. IEEE Trans. Autom. Control. 69 (2) (2024)
Yongqiang Wang, Angelia Nedic
Robust Constrained Consensus and Inequality-constrained Distributed Optimization with Guaranteed Differential Privacy and Accurate Convergence. CoRR (2024)
Yongqiang Wang, Tamer Basar
Ensuring Both Almost Sure Convergence and Differential Privacy in Nash Equilibrium Seeking on Directed Graphs. IEEE Trans. Autom. Control. 69 (8) (2024)
Weihang Tan, Timothy Anglea, Yongqiang Wang
Analysis of Dead Reckoning Accuracy in Swarm Robotics System. CoRR (2024)
Yongqiang Wang, Angelia Nedic
Differentially-Private Distributed Optimization with Guaranteed Optimality. CDC (2023)
Yongqiang Wang, Tamer Basar
Gradient-Tracking-Based Distributed Optimization With Guaranteed Optimality Under Noisy Information Sharing. IEEE Trans. Autom. Control. 68 (8) (2023)
Yongqiang Wang, H. Vincent Poor
Decentralized Stochastic Optimization With Inherent Privacy Protection. IEEE Trans. Autom. Control. 68 (4) (2023)
Madeline Corvin, Johnathan McDowell, Timothy Anglea, Yongqiang Wang
Undergraduate Research of Decentralized Localization of Roombas Through Usage of Wall-Finding Software. CoRR (2023)
Huan Gao, Yongqiang Wang, Angelia Nedic
Dynamics based privacy preservation in decentralized optimization. Autom. 151 (2023)
Yongqiang Wang, Tamer Basar
Quantization Enabled Privacy Protection in Decentralized Stochastic Optimization. IEEE Trans. Autom. Control. 68 (7) (2023)
Dong Chen, Mohammad R. Hajidavalloo, Zhaojian Li, Kaian Chen, Yongqiang Wang, Longsheng Jiang, Yue Wang
Deep Multi-Agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic. IEEE Trans. Intell. Transp. Syst. 24 (11) (2023)
Yongqiang Wang, Angelia Nedich
Differentially-private Distributed Algorithms for Aggregative Games with Guaranteed Convergence. CoRR (2022)
Yongqiang Wang, H. Vincent Poor
Decentralized Stochastic Optimization with Inherent Privacy Protection. CoRR (2022)
Yongqiang Wang, Tamer Basar
Quantization enabled Privacy Protection in Decentralized Stochastic Optimization. CoRR (2022)
Yongqiang Wang
Ensure Differential Privacy and Convergence Accuracy in Consensus Tracking and Aggregative Games with Coupling Constraints. CoRR (2022)
Huan Gao, Zhaojian Li, Yongqiang Wang
Privacy-Preserving Collaborative Estimation for Networked Vehicles With Application to Collaborative Road Profile Estimation. IEEE Trans. Intell. Transp. Syst. 23 (10) (2022)
Huan Gao, Yongqiang Wang
Algorithm-Level Confidentiality for Average Consensus on Time-Varying Directed Graphs. IEEE Trans. Netw. Sci. Eng. 9 (2) (2022)
Yongqiang Wang, Tamer Basar
Gradient-tracking based Distributed Optimization with Guaranteed Optimality under Noisy Information Sharing. CoRR (2022)
Yongqiang Wang, Tamer Basar
Ensuring both Accurate Convergence and Differential Privacy in Nash Equilibrium Seeking on Directed Graphs. CoRR (2022)
Yongqiang Wang, Tamer Basar
Decentralized Nonconvex Optimization with Guaranteed Privacy and Accuracy. CoRR (2022)
Yongqiang Wang, Francis J. Doyle
The synchronization rate of oscillator networks subject to delayed and directed interaction. Allerton (2010)