Edge Devices

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16 papers in the last four weeks, up 60% on the four weeks before. 0.2% of all new papers.

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  1. Decentralised Trust and Security Mechanisms for IoT Networks at the Edge: A Comprehensive Review

    Apr 19, 2026Khandoker Ashik Uz Zaman, Mahdi H. Miraz, Mohammed N. M. AliInternet Of ThingEdge Devices

    Xiamen University Malaysia, Malaysia · Wrexham University, UK · University of South Wales, UK

  2. A Comparative Study of CNN Optimization Methods for Edge AI: Exploring the Role of Early Exits

    Apr 16, 2026Nekane Fernandez, Ivan Valdes, Steven Van Vaerenbergh +2Edge DevicesNeural Network Inference

    Nekane Fernandez, Ivan Valdes, Idoia de la Iglesia and Julen Arratibel are with the Dept. of Connected and Distributed Intelligence, Ikerlan Technology Research Centre, Arrasate, Spain · Nekane Fernandez and Steven Van Vaerenbergh are with the Dept. of Mathematics, Statistics and Computation, Universidad de Cantabria, Santander, Spain

  3. SnapGen++: Unleashing Diffusion Transformers for Efficient High-Fidelity Image Generation on Edge Devices

    Jan 13, 2026Dongting Hu, Aarush Gupta, Magzhan Gabidolla +12Diffusion TransformersEdge Devices

    Snap Inc. · University of Melbourne · MBZUAI

  4. CoCo-Fed: A Unified Framework for Memory- and Communication-Efficient Federated Learning at the Wireless Edge

    Jan 2, 2026Zhiheng Guo, Zhaoyang Liu, Zihan Cen +5Open Radio Access NetworksFederated Learning

    School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510275, China · Department of Computer Science, University of Exeter, Exeter EX4 4QJ, U.K. · Singapore University of Technology and Design, Singapore

  5. On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs

    Sep 22, 2025Rongguang Ye, Ming Tang, Edith C. H. NgaiLarge Language Model QuantizationTraining-Side Stage-Aware Low-Rank Adaptation

    Southern University of Science and Technology · The University of Hong Kong

  6. FlexQuant: Elastic Quantization Framework for Locally Hosted LLM on Edge Devices

    Jan 13, 2025Yuji Chai, Mujin Kwun, David Brooks +1Large Language Model QuantizationLLM Inference Optimization

    Harvard John A. Paulson School Of Engineering And Applied Sciences Cambridge, Massachusetts, USA

  7. A Comprehensive Evaluation of Deep Learning Object Detection Models on Heterogeneous Edge Devices

    Sep 25, 2024Daghash K. Alqahtani, Muhammad Aamir Cheema, Maria A. Rodriguez +1Yolo26Mobilenetv2

    DisNet Lab, School of Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia · Monash University, Melbourne, VIC, Australia