This paper explores the relationship between the structure of a network of agents and how
efficiently they can learn a common unknown parameter. Agents repeatedly make private …

The maintenance of a consistent Common Operational Picture based on sensor/agent
networks can be very challenging for high-tempo situations. Moreover shorter times for …

This master thesis designs new efficient multi-agent algorithms that operate in open systems
(ie systems subject to arrivals and departures of agents) and that aggregate the data held by …

We consider the problem of collaborative inference in a sensor network with heterogeneous
and statistically dependent sensor observations. Each sensor aims to maximize its inference …

Distributed decision-making in the presence of multiple manipulative actors is studied, in the
context of a linear distributed-consensus algorithm which has been enhanced to feedback …

In distributed inference, cooperation among networked agents can be exploited to enhance
the performance of each individual agent. In this paper, we consider signal classification …

This paper presents a cooperative estimation of the pose of an object in multi agent systems,
eg, camera networks. The individual measurement of the object pose is assumed to be …

We propose an approach to self-optimizing wireless sensor networks (WSNs) which are
able to find, in a fully distributed way, a solution to a coverage and lifetime optimization …

We investigate the control of a team of randomly heading mobile robots to reach asymptotic
consensus for almost sure. Vicsek's model is based on the state of an agent and its …

This work presents a simple model that expose the information embedded into a sensor
signal allowing to share it independently of the signal nature. Today's highly interconnected …