36 citations · 80 across the 24 of their papers we have counts for
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cs.GT2022★ 1 cited
Ensure Differential Privacy and Convergence Accuracy in Consensus Tracking and Aggregative Games with Coupling Constraints
Yongqiang Wang
We address differential privacy for fully distributed aggregative games with shared coupling constraints. By co-designing the generalized Nash equilibrium (GNE) seeking mechanism a…
cs.GT2022
Ensuring both Provable Convergence and Differential Privacy in Nash Equilibrium Seeking on Directed Graphs
Yongqiang Wang, Tamer Basar
We study in this paper privacy protection in fully distributed Nash equilibrium seeking where a player can only access its own cost function and receive information from its immedi…
cs.GT2022★ 1 cited
Differentially-private Distributed Algorithms for Aggregative Games with Guaranteed Convergence
Yongqiang Wang, Angelia Nedich
The distributed computation of a Nash equilibrium in aggregative games is gaining increased traction in recent years. Of particular interest is the mediator-free scenario where ind…