This paper considers a distributed optimization problem over a multiagent network, in which
the objective function is a sum of individual cost functions at the agents. We focus on the …

In this paper, we discuss distributed optimization over directed graphs, where doubly
stochastic weights cannot be constructed. Most of the existing algorithms overcome this …

With the rise of various constraints in centralized frameworks, decentralized computing and
optimization have received major attention from the control community in recent times. In …

In this thesis, we study distributed optimization, where a network of agents, interacting over a
directed graph, collaborates to minimize the average of locally-known convex functions …

In this thesis, we study the asymptotic behavior of Linear Time-Varying (LTV) systems that
describe fusion in dynamic multi-agent networks. We consider networks that consist of at …