6 papers
Random Reshuffling-Based Distributed Nash Equilibrium Seeking
Jun Hu, Chao Sun, Chen Bo +2
This paper studies random reshuffling (RR)-based distributed Nash equilibrium seeking for noncooperative games. The game is motivated as a sample-average approximation of an underl…
Median-of-Means for Nash Equilibrium Seeking in Heavy-Tailed Games
Chao Sun, Huiming Zhang, Bo Chen +3
This paper studies the Nash equilibrium seeking problem for stochastic games under heavy-tailed noise. The gradient noise is considered to have a finite -th moment (…
Spatial-Regularization-Aware Dual-Branch Collaborative Inference for Training-Free OVSS in Remote Sensing Imagery
Jianzheng Wang, Huan Ni
High-resolution remote sensing images contain densely distributed objects with pronounced scale variations and complex boundaries, which impose higher demands on both the geometric…
Distributed Stochastic Optimization for Non-Smooth and Weakly Convex Problems under Heavy-Tailed Noise
Jun Hu, Chao Sun, Bo Chen +2
In existing distributed stochastic optimization studies, it is usually assumed that the gradient noise has a bounded variance. However, recent research shows that the heavy-tailed…
Stability Analysis of Distributed Estimators for Large-Scale Interconnected Systems: Time-Varying and Time-Invariant Cases
Zhongyao Hu, Bo Chen, Jianzheng Wang +3
This paper studies a distributed estimation problem for time-varying/time-invariant large-scale interconnected systems (LISs). A fully distributed estimator is presented by recursi…
Intermittent Encryption Strategies for Anti-Eavesdropping Estimation
Zhongyao Hu, Bo Chen, Pindi Weng +2
In this paper, an anti-eavesdropping estimation problem is investigated. A linear encryption scheme is utilized, which first linearly transforms innovation via an encryption matrix…