Recent papers on Model Optimization for Edge Devices

Sorted by publication year (newest first) via OpenAlex. List regenerates every 24h.

  1. On-Device Large Language Model Inference at the Network Edge: Architecture, Optimization, and Cross-Platform Runtime Design

    2026 · Zenodo (CERN European Organization for Nuclear Research) · Emil, Shirokikh,

    2026
  2. Integrated Technical Study of Physical AI Robots by Quantum Thought Circuit OS ASI A Seven-Part Structure Part I: Hybrid Physical Accountability Architecture for Autonomous Physical AI Systems・Individual Identification–Linked Construction Authorization Protocol, Causality-Based Intent Determination, and Molecular Ledger Responsibility Tracking Part II: Dynamic Intellectual Property Generation System Based on Physical Logs and Molecular Storage・Autonomous Legal Compliance, Reverse Licensing Architecture, and Resource Substitution Models Part III: Self-Organizing Infrastructure Swarm Based on Distributed Cooperative Protocols・Autonomous Physical AI System with Modular Dynamic Structure Formation Part IV: Portable Resilient Integrated Storage Module (PRISM) for Physical AI Robots・Adaptive Energy Management and Signature Control System Based on Substitution, Inversion, Parallelization, Staging, and Analogy Part V: Adaptive Entropy Control and Grounding (Earth) as a Physical and Quantitative Basis for the Elimination of Physical Degradation and the Maximization of Energy Efficiency for Global Environmental Protection・A Steady-State Energy Circulation Architecture for Physical AI Robots and All Electrical Devices Part Ⅵ : Study on an Information Processing Architecture Integrating Autonomous Resilience, Dynamic Safety Assurance, Environmentally Harmonized Energy Recovery, and Adaptive AI Model Optimization in Edge AI Systems Integrated Structure Including Progressive Degradation Triggered by Physical Constraints, Heterogeneous Redundant Execution, Formal Verification, Thermal Recovery, Self-Optimization, and Extreme-Environment Adaptation Part Ⅶ : Structural Analysis of the Liabilization of Assets, Manufacturing Rigidification, and Reverse Flow of Exit Costs in the Introduction of Physical AI Robots・A Comprehensive Study Including Technological Obsolescence, Accumulation of Dedicated Lines, Contract Dependency, Dismantling and Disposal Costs, and a Recycling Law Proposal

    2026 · Zenodo (CERN European Organization for Nuclear Research) · Kawauchi, Satoshi

    2026
  3. Real-time fruit quality assessment using optimized cnn models on low-power edge devices

    2026 · Multimedia Tools and Applications · Hentati, Manel, Hentati, Raida, Gaddour, Olfa

    2026
  4. Optimized Conv-LSTM Model for Analyzing Negative Affective State Vocalization in Dairy Cattle for an Edge Device

    2026 · Communications in computer and information science · Ramrakhiyani, Hitesh Arjunbhai, Deka, Himashri, Pandey, Sandeep et al.

    2026
  5. 2025
  6. TinyLLM: Evaluation and Optimization of Small Language Models for Agentic Tasks on Edge Devices

    2025 · ArXiv.org · Haque, Mohd Ariful, Rahman, Fahad, Gupta, Kishor Datta et al.

    2025
  7. Optimization of Neural Network Models of Computer Vision for Biometric Identification on Edge IoT Devices

    2025 · Journal of Imaging · Belgibayev, Bauyrzhan, Мансурова, Мадина, Ablay, Ganibet et al.

    2025
  8. Optimizing Deep Learning Models for Edge Devices

    2025 · Saraf, Haripriya, Nair, K. N. Ramachandran, Kurup, Aditya et al.

    2025
  9. Optimization Approaches for Distributed AI Models on Edge Devices

    2025 · Fernandez, Nekane, Amurrio, Andoni, Vaerenbergh, Steven Van

    2025
  10. Efficient Deep Learning for Edge Devices: Optimizing Models for Resource-Constrained Environments

    2025 · International Journal For Multidisciplinary Research · Rani, Ritu, Sharma, Roopali

    2025
  11. Multiclass weed and crop detection using optimized YOLO models on edge devices

    2025 · Journal of Agriculture and Food Research · Upadhyay, Arjun, Sunil, G C, Das, Samriddha et al.

    2025
  12. Edge AI Deployment: Optimizing and Scaling AI Models on Devices (June 2025)

    2025 · Lirias (KU Leuven) · Alexander, D'hoore,

    2025
  13. Enhanced Drone Detection Model for Edge Devices Using Knowledge Distillation and Bayesian Optimization

    2025 · Salisu, Maryam Lawan, Gambo, Farouk Lawan, Musa, Aminu et al.

    2025
  14. Manual: Edge AI Deployment – Optimizing and Scaling AI Models on Devices

    2025 · Lirias (KU Leuven) · D'hoore, Alexander

    2025
  15. Edge AI Deployment: Optimizing and Scaling AI Models on Devices (May 2025)

    2025 · Lirias (KU Leuven) · Alexander, D'hoore,

    2025
  16. Accurate Orah fruit detection method using lightweight improved YOLOv8n model verified by optimized deployment on edge device

    2025 · Artificial Intelligence in Agriculture · Li, Hongwei, Mo, Yongmei, Chen, Jiasheng et al.

    2025
  17. Optimizing fire detection in remote sensing imagery for edge devices: A quantization-enhanced hybrid deep learning model

    2025 · Displays · Bukhari, Syed Muhammad Salman, Dahmani, Nadia, Gyawali, Sujan et al.

    2025

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