3 papers
cs.LG2024
Locally Differentially Private Distributed Online Learning with Guaranteed Optimality
Ziqin Chen, Yongqiang Wang
Distributed online learning is gaining increased traction due to its unique ability to process large-scale datasets and streaming data. To address the growing public awareness and…
cs.GT2024
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…
eess.SY2024
Privacy-Preserving Nonlinear Cloud-based Model Predictive Control via Affine Masking
Kaixiang Zhang, Zhaojian Li, Yongqiang Wang +1
With the advent of 5G technology that presents enhanced communication reliability and ultra low latency, there is renewed interest in employing cloud computing to perform high perf…