Cover Image

Edge-AI-Driven Learning-to-Rank for Decentralized Task Allocation in Circular Smart Manufacturing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ghahramani, Mohammadhossein, Qiao, Yan, Zhou, Mengchu
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CLAIRE: Compressed Latent Autoencoder for Industrial Representation and Evaluation -- A Deep Learning Framework for Smart Manufacturing
by: Ghahramani, Mohammadhossein, et al.
Published: (2026)

A Multi-objective Optimization Approach for Feature Selection in Gentelligent Systems
by: Ghahramani, Mohammadhossein, et al.
Published: (2025)

Smart Water Security with AI and Blockchain-Enhanced Digital Twins
by: Homaei, Mohammadhossein, et al.
Published: (2025)

2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing
by: Lee, Jay, et al.
Published: (2026)

PLAN: Proactive Low-Rank Allocation for Continual Learning
by: Wang, Xiequn, et al.
Published: (2025)

The Dark Side of Digital Twins: Adversarial Attacks on AI-Driven Water Forecasting
by: Homaei, Mohammadhossein, et al.
Published: (2025)

Decentralized Rank Scheduling for Energy-Constrained Multi-Task Federated Fine-Tuning in Edge-Assisted IoV Networks
by: Zheng, Bokeng, et al.
Published: (2025)

Joint Optimization of Resource Allocation and Data Selection for Fast and Cost-Efficient Federated Edge Learning
by: Jia, Yunjian, et al.
Published: (2024)

Hybrid Agentic AI and Multi-Agent Systems in Smart Manufacturing
by: Farahani, Mojtaba A., et al.
Published: (2025)

Trust and Resilience in Federated Learning Through Smart Contracts Enabled Decentralized Systems
by: Cassano, Lorenzo, et al.
Published: (2024)

Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning
by: Zhao, Ziyu, et al.
Published: (2025)

Decentralized Ranking Aggregation via Gossip: Convergence and Robustness
by: Caillec, Kerrian Le, et al.
Published: (2026)

Rare Class Prediction Model for Smart Industry in Semiconductor Manufacturing
by: Farrag, Abdelrahman, et al.
Published: (2024)

Towards Heterogeneity-Aware and Energy-Efficient Topology Optimization for Decentralized Federated Learning in Edge Environment
by: Liu, Yuze, et al.
Published: (2025)

Enhancing Smart Farming Through Federated Learning: A Secure, Scalable, and Efficient Approach for AI-Driven Agriculture
by: Janga, Ritesh, et al.
Published: (2025)

Time-Series Classification in Smart Manufacturing Systems: An Experimental Evaluation of State-of-the-Art Machine Learning Algorithms
by: Farahani, Mojtaba A., et al.
Published: (2023)

Autoregressive Policy Optimization for Constrained Allocation Tasks
by: Winkel, David, et al.
Published: (2024)

Learning-enabled Flexible Job-shop Scheduling for Scalable Smart Manufacturing
by: Moon, Sihoon, et al.
Published: (2024)

IGU-LoRA: Adaptive Rank Allocation via Integrated Gradients and Uncertainty-Aware Scoring
by: Cui, Xuan, et al.
Published: (2026)

Joint Explainability-Performance Optimization With Surrogate Models for AI-Driven Edge Services
by: Charalampakos, Foivos, et al.
Published: (2025)

A Two-stage Reinforcement Learning-based Approach for Multi-entity Task Allocation
by: Gong, Aicheng, et al.
Published: (2024)

EAGLE: Edge-Aware Graph Learning for Proactive Delivery Delay Prediction in Smart Logistics Networks
by: Xue, Zhiming, et al.
Published: (2026)

Conformal Prediction-Driven Adaptive Sampling for Digital Water Twins
by: Homaei, Mohammadhossein, et al.
Published: (2025)

Large Language Model Compression with Global Rank and Sparsity Optimization
by: Zhou, Changhai, et al.
Published: (2025)

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs
by: Li, Guangyan, et al.
Published: (2025)

Scaling Up Data Parallelism in Decentralized Deep Learning
by: Xie, Bing, et al.
Published: (2025)

Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning
by: Todorov, Aleksandar, et al.
Published: (2025)

Securing Healthcare with Deep Learning: A CNN-Based Model for medical IoT Threat Detection
by: Mohamadi, Alireza, et al.
Published: (2024)

ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation
by: Liang, Jian, et al.
Published: (2025)

SmartFlow Reinforcement Learning and Agentic AI for Bike-Sharing Optimisation
by: K, Aditya Sreevatsa, et al.
Published: (2025)

Activity Recognition from Smart Insole Sensor Data Using a Circular Dilated CNN
by: Zhao, Yanhua
Published: (2026)

A Unified Industrial Large Knowledge Model Framework in Industry 4.0 and Smart Manufacturing
by: Lee, Jay, et al.
Published: (2023)

A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid
by: Chanda, Dibaloke, et al.
Published: (2023)

FAuNO: Semi-Asynchronous Federated Reinforcement Learning Framework for Task Offloading in Edge Systems
by: Metelo, Frederico, et al.
Published: (2025)

TaskMet: Task-Driven Metric Learning for Model Learning
by: Bansal, Dishank, et al.
Published: (2023)

GraphEdge: Dynamic Graph Partition and Task Scheduling for GNNs Computing in Edge Network
by: Xiao, Wenjing, et al.
Published: (2025)

Fast AI Model Partition for Split Learning over Edge Networks
by: Li, Zuguang, et al.
Published: (2025)

AIMA at SemEval-2024 Task 3: Simple Yet Powerful Emotion Cause Pair Analysis
by: Kure, Alireza Ghahramani, et al.
Published: (2025)

Adaptively Learning to Select-Rank in Online Platforms
by: Wang, Jingyuan, et al.
Published: (2024)

Characterization of Multi-Model Agentic AI Systems on General Tasks via Trace-Driven Simulation
by: Kim, Donghwan, et al.
Published: (2026)