Zobrazeno 1 - 10
of 183
pro vyhledávání: '"Touri, Behrouz"'
We study a class of zeroth-order distributed optimization problems, where each agent can control a partial vector and observe a local cost that depends on the joint vector of all agents, and the agents can communicate with each other with time delay.
Externí odkaz:
http://arxiv.org/abs/2401.03998
Autor:
Vasconcelos, Marcos M., Touri, Behrouz
We study the problem of achieving decentralized coordination by a group of strategic decision makers choosing to engage or not in a task in a stochastic setting. First, we define a class of symmetric utility games that encompass a broad class of coor
Externí odkaz:
http://arxiv.org/abs/2304.01445
Autor:
Touri, Behrouz, Gharesifard, Bahman
We introduce a class of distributed nonlinear control systems, termed as the flow-tracker dynamics, which capture phenomena where the average state is controlled by the average control input, with no individual agent has direct access to this average
Externí odkaz:
http://arxiv.org/abs/2211.04358
To design algorithms that reduce communication cost or meet rate constraints and are robust to communication noise, we study convex distributed optimization problems where a set of agents are interested in solving a separable optimization problem col
Externí odkaz:
http://arxiv.org/abs/2210.05897
We propose a random adaptation variant of time-varying distributed averaging dynamics in discrete time. We show that this leads to novel interpretations of fundamental concepts in distributed averaging, opinion dynamics, and distributed learning. Nam
Externí odkaz:
http://arxiv.org/abs/2206.12709
Consider a set of agents collaboratively solving a distributed convex optimization problem, asynchronously, under stringent communication constraints. In such situations, when an agent is activated and is allowed to communicate with only one of its n
Externí odkaz:
http://arxiv.org/abs/2205.00647
We study non-convex distributed optimization problems where a set of agents collaboratively solve a separable optimization problem that is distributed over a time-varying network. The existing methods to solve these problems rely on (at most) one tim
Externí odkaz:
http://arxiv.org/abs/2204.10974
Perron-Frobenius theorem is a fundamental tool in matrix analysis that has applications to complex networks, population dynamics, social learning, and numerous physical, engineering, and economic phenomena. However, since this theorem and many of its
Externí odkaz:
http://arxiv.org/abs/2204.00573
We examine the age-structured SIR model, a variant of the classical Susceptible-Infected-Recovered (SIR) model of epidemic propagation, in the context of COVID-19. In doing so, we provide a theoretical basis for the model, perform an empirical valida
Externí odkaz:
http://arxiv.org/abs/2203.05111