2 papers
math.OC2025
Average consensus with resilience and privacy guarantees without losing accuracy
Guilherme Ramos, Daniel Silvestre, André M. H. Teixeira +1
This paper addresses the challenge of achieving private and resilient average consensus among a group of discrete-time networked agents without compromising accuracy. State-of-the-…
math.OC2024
Distributed Graph Augmentation Protocols to Achieve Strong Connectivity in Multi-Agent Networks
Guilherme Ramos, Diogo Poças, Sérgio Pequito
In multi-agent systems, strong connectivity of the communication network is often crucial for establishing consensus protocols, which underpin numerous applications in decision-mak…