Abstract: Graph Neural Networks (GNNs) have demonstrated strong potential for identifying software vulnerabilities by leveraging the structured representation of code as graphs. In this paper, we ...
Abstract: This letter proposes a novel protocol for achieving arithmetic average consensus over time-varying directed graphs using broadcast-only communication, where agents cannot selectively address ...