Cover Image

Distributed Allocation and Resource Scheduling Algorithms Resilient to Link Failure

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Doostmohammadian, Mohammadreza, Pequito, Sergio
Format:	Preprint
Published:	2025
Subjects:	Systems and Control Distributed, Parallel, and Cluster Computing Multiagent Systems Signal Processing Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Design of Resilient Distributed Single Time-Scale Estimators: A Graph-Theoretic Approach
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

Momentum-based Distributed Resource Scheduling Optimization Subject to Sector-Bound Nonlinearity and Latency
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

Momentum-based Accelerated Algorithm for Distributed Optimization under Sector-Bound Nonlinearity
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

Distributed Observer-based Fault Detection over Intelligent Networked Multi-Vehicle Systems
by: Doostmohammadian, Mohammadreza, et al.
Published: (2026)

Survey of Distributed Algorithms for Resource Allocation over Multi-Agent Systems
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)

Distributed Automatic Generation Control subject to Ramp-Rate-Limits: Anytime Feasibility and Uniform Network-Connectivity
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

Machine Learning and CPU (Central Processing Unit) Scheduling Co-Optimization over a Network of Computing Centers
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

Nonlinear Perturbation-based Non-Convex Optimization over Time-Varying Networks
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)

Accelerated Distributed Allocation
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)

Resource Allocation in Large Language Model Integrated 6G Vehicular Networks
by: Liu, Chang, et al.
Published: (2024)

Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks
by: Song, Zhuoqing, et al.
Published: (2021)

Logarithmically Quantized Distributed Optimization over Dynamic Multi-Agent Networks
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)

Fully Distributed and Quantized Algorithm for MPC-based Autonomous Vehicle Platooning Optimization
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

Distributed Observer Design for Tracking Platoon of Connected and Autonomous Vehicles
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

dHPR: A Distributed Halpern Peaceman--Rachford Method for Non-smooth Distributed Optimization Problems
by: Feng, Zhangcheng, et al.
Published: (2025)

An Accelerated Distributed Stochastic Gradient Method with Momentum
by: Huang, Kun, et al.
Published: (2024)

Efficient Gradient Methods for Distributed Saddle Problems
by: Luo, Ruichen, et al.
Published: (2026)

Distributed Conjugate Gradient Method via Conjugate Direction Tracking
by: Shorinwa, Ola, et al.
Published: (2023)

A Privacy Preserving Randomized Gossip Algorithm via Controlled Noise Insertion
by: Hanzely, Filip, et al.
Published: (2019)

Impact of Clustering on the Observability and Controllability of Complex Networks
by: Doostmohammadian, Mohammadreza, et al.
Published: (2026)

Quantized Decentralized Stochastic Learning over Directed Graphs
by: Taheri, Hossein, et al.
Published: (2020)

A Distributed Event-Triggered Control Strategy for DC Microgrids Based on Publish-Subscribe Model Over Industrial Wireless Sensor Networks
by: Alavi, Seyed Amir, et al.
Published: (2019)

Cloud-Based Scheduling Mechanism for Scalable and Resource-Efficient Centralized Controllers
by: Seisa, Achilleas Santi, et al.
Published: (2024)

Estimation Network Design framework for efficient distributed optimization
by: Bianchi, Mattia, et al.
Published: (2024)

Distributed Fractional Bayesian Learning for Adaptive Optimization
by: Yang, Yaqun, et al.
Published: (2024)

Rate Analysis of Coupled Distributed Stochastic Approximation for Misspecified Optimization
by: Yang, Yaqun, et al.
Published: (2024)

On the Redundant Distributed Observability of Mixed Traffic Transportation Systems
by: Doostmohammadian, M., et al.
Published: (2025)

Distributed Intelligence in the Computing Continuum with Active Inference
by: Pujol, Victor Casamayor, et al.
Published: (2025)

Delay-Tolerant Augmented-Consensus-based Distributed Directed Optimization
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

Several Performance Bounds on Decentralized Online Optimization are Highly Conservative and Potentially Misleading
by: Meunier, Erwan, et al.
Published: (2025)

CEDAS: A Compressed Decentralized Stochastic Gradient Method with Improved Convergence
by: Huang, Kun, et al.
Published: (2023)

Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method
by: Mhanna, Elissa, et al.
Published: (2024)

Pythia: Exploiting Workflow Predictability for Efficient Agent-Native LLM Serving
by: Yu, Shan, et al.
Published: (2026)

Wireless Sensor Networks Nodes Clustering and Optimization Based on Fuzzy C-Means and Water Strider Algorithms
by: Alsharfa, Raya Majid, et al.
Published: (2025)

DAG-Based QoS-Aware Dynamic Task Placement for Networked Multi-Stage Control Pipelines
by: Tran, Thien, et al.
Published: (2026)

Large Language Models over Networks: Collaborative Intelligence under Resource Constraints
by: Yuan, Liangqi, et al.
Published: (2026)

Green-LLM: Optimal Workload Allocation for Environmentally-Aware Distributed Inference
by: Cheng, Jiaming, et al.
Published: (2025)

Resource Allocation for Stable LLM Training in Mobile Edge Computing
by: Liu, Chang, et al.
Published: (2024)

Distributed Difference of Convex Optimization
by: Khatana, Vivek, et al.
Published: (2024)

Impossibility of Self-Organized Aggregation without Computation
by: Steinberg, Roy, et al.
Published: (2024)