Decentralized optimization methods often entail information exchange between neighbors.
In many circumstances, due to the limited communication bandwidth, the exchanged …

We consider the problem of decentralized consensus optimization, where the sum of n
smooth and strongly convex functions are minimized over n distributed agents that form a …

We consider decentralized optimization problems in which a number of agents collaborate
to minimize the average of their local functions by exchanging over an underlying …

Decentralized multi-agent optimization usually relies on information exchange between
neighboring agents, which can incur unaffordable communication overhead in practice. To …

In this article, we consider decentralized optimization problems where agents have
individual cost functions to minimize subject to subspace constraints that require the …

We consider a multi-agent network where each node has a stochastic (local) cost function
that depends on the decision variable of that node and a random variable, and further, the …

We study a distributed method called SAB-TV, which employs gradient tracking to
collaboratively minimize the strongly-convex sum of smooth local cost functions for …

Decentralized optimization methods often entail information exchange between neighbors.
Transmission failures can happen due to network congestion, hardware/software issues …

In this paper, we study the problem of decentralized optimization to minimize a finite sum of
local convex cost functions over an undirected network. Compared with the existing works …

We consider the decentralized convex optimization problem, where multiple agents must
cooperatively minimize a cumulative objective function, with each local function expressible …