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Found 21 papers, 0 papers with code
Accelerated Distributed Allocation
The proposed algorithm is all-time feasible, implying that at any termination time of the algorithm, the resource-demand feasibility holds.
Survey of Distributed Algorithms for Resource Allocation over Multi-Agent Systems
This survey paper provides a comprehensive analysis of distributed algorithms for addressing the distributed resource allocation (DRA) problem over multi-agent systems.
Robust-to-Noise Algorithms for Distributed Resource Allocation and Scheduling
Efficient resource allocation and scheduling algorithms are essential for various distributed applications, ranging from wireless networks and cloud computing platforms to autonomous multi-agent systems and swarm robotic networks.
Discretized Distributed Optimization over Dynamic Digraphs
This work, particularly, is an improvement over existing stochastic-weight undirected networks in case of link removal or packet drops.
Distributed Delay-Tolerant Strategies for Equality-Constraint Sum-Preserving Resource Allocation
This paper proposes two nonlinear dynamics to solve constrained distributed optimization problem for resource allocation over a multi-agent network.
Distributed Energy Resource Management: All-Time Resource-Demand Feasibility, Delay-Tolerance, Nonlinearity, and Beyond
In this work, we propose distributed and networked energy management scenarios to optimize the production and reservation of energy among a set of distributed energy nodes.
D-SVM over Networked Systems with Non-Ideal Linking Conditions
The agents solve a consensus-constraint distributed optimization cooperatively via continuous-time dynamics, while the links are subject to strongly sign-preserving odd nonlinear conditions.
Consensus-based Networked Tracking in Presence of Heterogeneous Time-Delays
The tracking part is based on linear time-difference-of-arrival (TDOA) measurement proposed in our previous works.
Distributed Constraint-Coupled Optimization over Lossy Networks
This paper considers distributed resource allocation and sum-preserving constrained optimization over lossy networks, where the links are unreliable and subject to packet drops.
DTAC-ADMM: Delay-Tolerant Augmented Consensus ADMM-based Algorithm for Distributed Resource Allocation
Every node locally updates its state toward optimizing a global allocation cost function via received information of its neighbouring nodes even when the data exchange over the network is heterogeneously delayed at different links.
Distributed CPU Scheduling Subject to Nonlinear Constraints
This paper considers a network of collaborating agents for local resource allocation subject to nonlinear model constraints.
Linear TDOA-based Measurements for Distributed Estimation and Localized Tracking
We present the minimal conditions on the remaining sensor network (after link/node removal) such that the distributed observability is still preserved and, thus, the sensor network can track the (single) maneuvering target.
Distributed Anomaly Detection and Estimation over Sensor Networks: Observational-Equivalence and Q-Redundant Observer Design
Instead, only instantaneous deviation of the residuals raises the alarm in the stateless case without considering the history of the sensor outputs and estimation data.
Distributed Finite-Sum Constrained Optimization subject to Nonlinearity on the Node Dynamics
Motivated by recent development in networking and parallel data-processing, we consider a distributed and localized finite-sum (or fixed-sum) allocation technique to solve resource-constrained convex optimization problems over multi-agent networks (MANs).
Distributed Detection and Mitigation of Biasing Attacks over Multi-Agent Networks
First, for performance analysis in the attack-free case, we show that the proposed distributed estimation is unbiased with bounded mean-square deviation in steady-state.
1st-Order Dynamics on Nonlinear Agents for Resource Allocation over Uniformly-Connected Networks
A general nonlinear $1$st-order consensus-based solution for distributed constrained convex optimization is proposed with network resource allocation applications.
Analysis of Contractions in System Graphs: Application to State Estimation
Observability and estimation are closely tied to the system structure, which can be visualized as a system graph--a graph that captures the inter-dependencies within the state variables.
Simultaneous Distributed Estimation and Attack Detection/Isolation in Social Networks: Structural Observability, Kronecker-Product Network, and Chi-Square Detector
This paper considers distributed estimation of linear systems when the state observations are corrupted with Gaussian noise of unbounded support and under possible random adversarial attacks.
Distributed support-vector-machine over dynamic balanced directed networks
In this paper, we consider the binary classification problem via distributed Support-Vector-Machines (SVM), where the idea is to train a network of agents, with limited share of data, to cooperatively learn the SVM classifier for the global database.
Consensus-Based Distributed Estimation in the Presence of Heterogeneous, Time-Invariant Delays
Classical distributed estimation scenarios typically assume timely and reliable exchanges of information over the sensor network.
Fast-Convergent Dynamics for Distributed Allocation of Resources Over Switching Sparse Networks with Quantized Communication Links
The idea is to optimally allocate the resources among the group of agents by minimizing the overall cost function subject to fixed sum of resources.
