Equipping current decision-making tools with notions of fairness,
equita...
This paper proposes Asynchronous Triggered Gradient Tracking, i.e., a
di...
This paper deals with a network of computing agents aiming to solve an o...
In this paper we consider a recently developed distributed optimization
...
In this paper we introduce DISROPT, a Python package for distributed
opt...
Submodular optimization is a special class of combinatorial optimization...
In this paper we deal with a network of agents seeking to solve in a
dis...
We study distributed big-data nonconvex optimization in multi-agent netw...
We study distributed big-data nonconvex optimization in multi-agent netw...
We study distributed multi-agent large-scale optimization problems, wher...
In this paper, we study distributed big-data nonconvex optimization in
m...
In this paper we consider a distributed optimization scenario in which a...
In this paper we consider a distributed optimization scenario in which t...