Online optimal service selection, resource allocation and task offloading for multi-access edge computing: A utility-based approach
W Chu, P Yu, Z Yu, JCS Lui… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Multi-access edge computing promises satisfactory user experience by offloading tasks to
the MEC server deployed at the network edge. However, since the MEC server is often …
the MEC server deployed at the network edge. However, since the MEC server is often …
Distributed optimal voltage control considering latency and asynchronous communication for three phase unbalanced distribution systems
Integration of distributed energy resources (DERs) helps realize sustainability and reduce
carbon footprint, but may cause voltage control issues in the distribution power system. The …
carbon footprint, but may cause voltage control issues in the distribution power system. The …
Hierarchically Distributed Energy Management in Distribution Systems: An Error-Tolerant and Asynchronous Approach
Distribution systems are becoming more complex with the integration of numerous
distributed energy resources (DERs), such as distributed generators (DGs), distributed …
distributed energy resources (DERs), such as distributed generators (DGs), distributed …
Robust Constrained Consensus and Inequality-constrained Distributed Optimization with Guaranteed Differential Privacy and Accurate Convergence
We address differential privacy for fully distributed optimization subject to a shared inequality
constraint. By co-designing the distributed optimization mechanism and the differential …
constraint. By co-designing the distributed optimization mechanism and the differential …
Asynchronous Distributed Optimization with Delay-free Parameters
Existing asynchronous distributed optimization algorithms often use diminishing step-sizes
that cause slow practical convergence, or use fixed step-sizes that depend on and decrease …
that cause slow practical convergence, or use fixed step-sizes that depend on and decrease …
On the Characteristics of the Conjugate Function Enabling Effective Dual Decomposition Methods
We investigate a novel characteristic of the conjugate function associated to a generic
convex optimization problem which can subsequently be leveraged for efficient dual …
convex optimization problem which can subsequently be leveraged for efficient dual …
Connection-Aware P2P Trading: Simultaneous Trading and Peer Selection
Peer-to-peer (P2P) trading is seen as a viable solution to handle the growing number of
distributed energy resources in distribution networks. However, when dealing with large …
distributed energy resources in distribution networks. However, when dealing with large …
On the primal feasibility in dual decomposition methods under additive and bounded errors
H Abeynanda, C Weeraddana… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
With the unprecedented growth of signal processing and machine learning application
domains, there has been a tremendous expansion of interest in distributed optimization …
domains, there has been a tremendous expansion of interest in distributed optimization …
Global Sensitivity Analysis Based Method for Distributed Voltage Control Performance Study
Various sources of uncertainty can jeopardize the performance of control algorithms when
practically implemented in power systems. This paper proposes a novel and replicable …
practically implemented in power systems. This paper proposes a novel and replicable …
Duality-Based Distributed Optimization With Communication Delays in Multi-Cluster Networks
In this work, we consider solving a distributed optimization problem (DOP) in a multi-agent
network with multiple agent clusters. In each cluster, the agents manage separable cost …
network with multiple agent clusters. In each cluster, the agents manage separable cost …