This note considers the distributed optimization problem on directed graphs with nonconvex
local objective functions and the unknown network connectivity. A new adaptive algorithm is …

We study distributed non-convex optimization on a time-varying multi-agent network. Each
node has access to its own smooth local cost function, and the collective goal is to minimize …

A distributed convex optimization problem over a weight-unbalanced directed network is
studied in this brief, where the global objective function is equal to the sum of strongly …

In this paper, some efficient criteria for finite-time consensus of a class of nonsmooth opinion
dynamics over a digraph are established. The lower and upper bounds on the finite settling …

This paper studies distributed convex optimization problems over continuous-time
multiagent networks subject to two types of constraints, ie, local feasible set constraints and …

This paper investigates the problem of fixed-time distributed time-varying optimization of a
nonlinear fractional-order multiagent system (FOMAS) over a weight-unbalanced directed …

This article studies a generalized Nash equilibrium problem with coupling equality
constraints and local action sets, where the cost function of each player has a general form …

This paper studies federated learning (FL)--especially cross-silo FL--with data from people
who do not trust the server or other silos. In this setting, each silo (eg hospital) has data from …

Motivated by applications in machine learning and statistics, we study distributed
optimization problems over a network of processors, where the goal is to optimize a global …

This paper presents a first-order distributed continuous-time algorithm for computing the
least-squares solution to a linear equation over networks. Given the uniqueness of the …