Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ou, Zichong"'
Many realistic decision-making problems in networked scenarios, such as formation control and collaborative task offloading, often involve complicatedly entangled local decisions, which, however, have not been sufficiently investigated yet. Motivated
Externí odkaz:
http://arxiv.org/abs/2407.10770
This paper considers a consensus optimization problem, where all the nodes in a network, with access to the zeroth-order information of its local objective function only, attempt to cooperatively achieve a common minimizer of the sum of their local o
Externí odkaz:
http://arxiv.org/abs/2406.09816
This paper focuses on distributed constrained optimization over time-varying directed networks, where all agents cooperate to optimize the sum of their locally accessible objective functions subject to a coupled inequality constraint consisting of al
Externí odkaz:
http://arxiv.org/abs/2310.09547
In this paper, we develop a distributed mixing-accelerated primal-dual proximal algorithm, referred to as MAP-Pro, which enables nodes in multi-agent networks to cooperatively minimize the sum of their nonconvex, smooth local cost functions in a dece
Externí odkaz:
http://arxiv.org/abs/2304.02830
In this paper, we propose a distributed stochastic second-order proximal method that enables agents in a network to cooperatively minimize the sum of their local loss functions without any centralized coordination. The proposed algorithm, referred to
Externí odkaz:
http://arxiv.org/abs/2211.10591
In this paper, we develop a distributed mixing-accelerated primal-dual proximal algorithm, referred to as MAP-Pro, which enables nodes in a network to cooperatively minimize the sum of their nonconvex, smooth local cost functions in a decentralized f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9192110979c495807acdf0e9fda1ffa