A survey of distributed optimization
In distributed optimization of multi-agent systems, agents cooperate to minimize a global
function which is a sum of local objective functions. Motivated by applications including …
function which is a sum of local objective functions. Motivated by applications including …
Distributed optimization for control
Advances in wired and wireless technology have necessitated the development of theory,
models, and tools to cope with the new challenges posed by large-scale control and …
models, and tools to cope with the new challenges posed by large-scale control and …
[图书][B] Lectures on network systems
Topics These lecture notes are intended primarily for graduate students interested in
network systems, distributed algorithms, and cooperative control. The objective is to answer …
network systems, distributed algorithms, and cooperative control. The objective is to answer …
Network topology and communication-computation tradeoffs in decentralized optimization
In decentralized optimization, nodes cooperate to minimize an overall objective function that
is the sum (or average) of per-node private objective functions. Algorithms interleave local …
is the sum (or average) of per-node private objective functions. Algorithms interleave local …
Tutorial on dynamic average consensus: The problem, its applications, and the algorithms
Technological advances in ad hoc networking and the availability of low-cost reliable
computing, data storage, and sensing devices have made scenarios possible where the …
computing, data storage, and sensing devices have made scenarios possible where the …
Distributed optimization over time-varying directed graphs
A Nedić, A Olshevsky - IEEE Transactions on Automatic Control, 2014 - ieeexplore.ieee.org
We consider distributed optimization by a collection of nodes, each having access to its own
convex function, whose collective goal is to minimize the sum of the functions. The …
convex function, whose collective goal is to minimize the sum of the functions. The …
Initialization-free distributed algorithms for optimal resource allocation with feasibility constraints and application to economic dispatch of power systems
In this paper, the distributed resource allocation optimization problem is investigated. The
allocation decisions are made to minimize the sum of all the agents' local objective functions …
allocation decisions are made to minimize the sum of all the agents' local objective functions …
Distributed convex optimization via continuous-time coordination algorithms with discrete-time communication
This paper proposes a novel class of distributed continuous-time coordination algorithms to
solve network optimization problems whose cost function is a sum of local cost functions …
solve network optimization problems whose cost function is a sum of local cost functions …
Distributed continuous-time optimization: nonuniform gradient gains, finite-time convergence, and convex constraint set
In this paper, a distributed optimization problem with general differentiable convex objective
functions is studied for continuous-time multi-agent systems with single-integrator dynamics …
functions is studied for continuous-time multi-agent systems with single-integrator dynamics …
Augmented distributed gradient methods for multi-agent optimization under uncoordinated constant stepsizes
We consider distributed optimization problems in which a number of agents are to seek the
optimum of a global objective function through merely local information sharing. The …
optimum of a global objective function through merely local information sharing. The …