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 …
Review of distributed control and optimization in energy internet: From traditional methods to artificial intelligence‐based methods
Energy internet (EI) can alleviate the arduous challenges brought about by the energy crisis
and global warming and has aroused the concern of many scholars. In the research of EI …
and global warming and has aroused the concern of many scholars. In the research of EI …
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 …
Distributed gradient methods for convex machine learning problems in networks: Distributed optimization
A Nedic - IEEE Signal Processing Magazine, 2020 - ieeexplore.ieee.org
This article provides an overview of distributed gradient methods for solving convex machine
learning problems of the form minxRn (1/m) ΣR i= 1 fi (x) in a system consisting of mm …
learning problems of the form minxRn (1/m) ΣR i= 1 fi (x) in a system consisting of mm …
Peer-to-peer energy trading in micro/mini-grids for local energy communities: A review and case study of Nepal
A Shrestha, R Bishwokarma, A Chapagain… - IEEE …, 2019 - ieeexplore.ieee.org
Distributed Energy Resources (DERs) are being integrated into the power market by
customers rather than large scale energy suppliers, thereby slowly transforming the …
customers rather than large scale energy suppliers, thereby slowly transforming the …
Privacy-preserving distributed averaging via homomorphically encrypted ratio consensus
CN Hadjicostis… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, we develop distributed iterative algorithms that enable the components of a
multicomponent system, each with some integer initial value, to asymptotically compute the …
multicomponent system, each with some integer initial value, to asymptotically compute the …
Regulation cooperative control for heterogeneous uncertain chaotic systems with time delay: A synchronization errors estimation framework
This paper addresses the regulation cooperative control problem of heterogeneous
uncertain chaotic systems with nonlinear dynamics and time delay. By proposing a robust …
uncertain chaotic systems with nonlinear dynamics and time delay. By proposing a robust …
Distributed energy resource coordination over time-varying directed communication networks
In this paper, we consider the optimal coordination problem for distributed energy resources
(DERs), including distributed generators and energy storages. We first propose an algorithm …
(DERs), including distributed generators and energy storages. We first propose an algorithm …
Achieving linear convergence in distributed asynchronous multiagent optimization
This article studies multiagent (convex and nonconvex) optimization over static digraphs. We
propose a general distributed asynchronous algorithmic framework whereby 1) agents can …
propose a general distributed asynchronous algorithmic framework whereby 1) agents can …
Distributed optimal dispatch of distributed energy resources over lossy communication networks
Driven by smart grid technologies, a great effort has been made in developing distributed
energy resources (DERs) in recent years for improving reliability and efficiency of …
energy resources (DERs) in recent years for improving reliability and efficiency of …