In this paper, we study the problem of distributed optimization using an arbitrary network of
lightweight computing nodes, where each node can only send/receive information to/from its …

Distributed stochastic optimization, arising in the crossing and integration of traditional
stochastic optimization, distributed computing and storage, and network science, has …

This paper proposes a consensus-based distributed optimal power flow (CD-OPF) scheme
to fast track the sub-optimal operating point, considering the power systems' state deviance …

We consider a distributed non-convex optimization problem of minimizing the sum of all
local cost functions over a network of agents. This problem often appears in large-scale …

The drive rolling bearing is an important part of a ship's system; the detection of the drive
rolling bearing is an important component in ship-fault diagnosis, and machine learning …

We investigate the consensus problems for uncertain multi-agent systems (MASs) via a
neural network (NN) adaptive control approach. However, it is quite difficult because of the …

This paper introduces a distributed optimization algorithm for distributed aggregative
optimization (DAO) problems on directed networks with column-stochastic matrices, referred …

This article studies a decentralized online optimization problem with a common constraint
set over time-varying and directed networks. Nodes in the network undertake local …

This article focuses on solving a distributed convex optimization problem of multiagent
systems with multiple inequality constraints. Considering communications between agents …

Dynamic Quality-of-Service (QoS) data can be efficiently represented by a Non-negative
Latent-factorization-of-tensors model, which relies on a Non-negative and Multiplicative …