Convergence analysis of alternating direction method of multipliers for a family of nonconvex problems
The alternating direction method of multipliers (ADMM) is widely used to solve large-scale
linearly constrained optimization problems, convex or nonconvex, in many engineering …
linearly constrained optimization problems, convex or nonconvex, in many engineering …
Fully decentralized peer-to-peer energy sharing framework for smart buildings with local battery system and aggregated electric vehicles
Decentralized peer-to-peer energy sharing techniques are highly promising to become the
next-generation regime for smart building energy management, which can impulse the …
next-generation regime for smart building energy management, which can impulse the …
Low-carbon optimal operation of distributed energy systems in the context of electricity supply restriction and carbon tax policy: A fully decentralized energy dispatch …
The peer-to-peer energy sharing of distributed energy systems supports carbon neutrality
targets by promoting self-sufficient local energy systems, energy saving and carbon …
targets by promoting self-sufficient local energy systems, energy saving and carbon …
Distributed nonconvex constrained optimization over time-varying digraphs
This paper considers nonconvex distributed constrained optimization over networks,
modeled as directed (possibly time-varying) graphs. We introduce the first algorithmic …
modeled as directed (possibly time-varying) graphs. We introduce the first algorithmic …
Tracking-ADMM for distributed constraint-coupled optimization
We consider constraint-coupled optimization problems in which agents of a network aim to
cooperatively minimize the sum of local objective functions subject to individual constraints …
cooperatively minimize the sum of local objective functions subject to individual constraints …
Distributed optimization for smart cyber-physical networks
The presence of embedded electronics and communication capabilities as well as sensing
and control in smart devices has given rise to the novel concept of cyber-physical networks …
and control in smart devices has given rise to the novel concept of cyber-physical networks …
A distributed algorithm for resource allocation over dynamic digraphs
Y Xu, T Han, K Cai, Z Lin, G Yan… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper studies a distributed resource allocation problem for a multiagent network with a
time-varying digraph. Each agent in the network is associated with a local variable …
time-varying digraph. Each agent in the network is associated with a local variable …
Privacy-preserving consensus-based energy management in smart grids
Privacy has become a big concern for consumers in electricity consumption activities, as
privacy disclosure may cause losses to individuals. Since the information exchange and …
privacy disclosure may cause losses to individuals. Since the information exchange and …
Distributed dual gradient tracking for resource allocation in unbalanced networks
This paper proposes a distributed dual gradient tracking algorithm (DDGT) to solve resource
allocation problems over an unbalanced network, where each node in the network holds a …
allocation problems over an unbalanced network, where each node in the network holds a …
Parallel and distributed successive convex approximation methods for big-data optimization
Recent years have witnessed a surge of interest in parallel and distributed optimization
methods for large-scale systems. In particular, nonconvex large-scale optimization problems …
methods for large-scale systems. In particular, nonconvex large-scale optimization problems …