Edge ML

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7 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28
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  1. Towards a Cloud Fog Edge System for Smart Building

    Oct 1, 2026Christophe Cérin, Mamadou Sow, Frédéric AndrèsOn-Device TrainingEdge ML

    University Sorbonne Paris Nord LIPN, UMR CNRS 7030 INRIA DATAMOVE Paris/Grenoble, France · University Sorbonne Paris Nord LIPN, UMR CNRS 7030 Villetaneuse, France · National institute of Informatics 2 Chome-1-2 Hitotsubashi, Chiyoda City, Tokyo 101-8430, Japan

  2. EdgeCraft: Automated Model Crafting for Edge IoT

    Sep 28, 2026Genglin Wang, Kaiwei Liu, Liekang Zeng +4Edge ComputingInternet of Things

    Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China · School of Computer Science, Peking University, Beijing, China

  3. A packet-level digital hardware twin for commissioning megahertz diagnostic edge AI and plasma control system integration in tokamaks

    Sep 27, 2026Semin Joung, Abhilasha Dave, Luca Scomparin +6Edge InferenceDigital Twins

    Department of Nuclear Engineering and Engineering Physics, University of Wisconsin–Madison, Madison, WI, USA · SLAC National Accelerator Laboratory, Menlo Park, CA, USA

  4. A Rapid Pipeline for Training and Deploying ML Models on WeBe Band

    Sep 24, 2026Ehsan Kourkchi, Asmita Asmita, Houman Homayoun +1Tiny MLEdge ML

    Dep. of Electrical and Computer Engineering UC Davis, CA, USA. · dept. name of organization (of Aff.) Quandary Peak Research Los Angeles, CA, USA.

  5. Deep Learning-Based Detection of Electrical Faults and Power Quality Disturbances in Aerospace Power Systems

    Sep 9, 2026Ian C. Guzmán, Radu Babiceanu, Berker PeközTime Series ClassificationEdge ML

    Embry-Riddle Aeronautical University, Daytona Beach, FL 32114, USA · Western Michigan University, Kalamazoo, MI 49008, USA

  6. The OCUDU dApp Platform: An Open Runtime and E3 Interface for Real-Time AI-RAN

    Sep 7, 2026Timothy O'Shea, Matthew Pennybacker, Andriy KharchenkoWireless CommunicationsOpen Radio Access Network

    DeepSig Inc., Arlington, VA, USA

  7. TASTE: Throughput-Aware Batch Size Tuning for On-Device Edge Learning

    Sep 7, 2026Avik Bhatnagar, Federico Nicolas Peccia, Oliver BringmannOn-Device TrainingEdge ML

    FZI Research Center for Information Technology, University of Tübingen Germany

  8. Network-Aware Forecasting on Wireless Access Points

    Sep 2, 2026Niloo Bahadori, Swadhin Pradhan, Peiman AminiEfficient Neural Network InferenceEdge Computing

    Cisco Systems

  9. Towards Stream Learning on Embedded Systems: Benchmarking the Memory Consumption of Stream Learning Methods

    Aug 31, 2026Sebastian Buschjäger, Nuwan Gunasekara, Heitor Murilo GomesEdge MLStreaming Algorithms

    Lamarr Institute, Dortmund, Germany · Lamarr Institute, Halmstad University, Sweden · Victoria University of Wellington, New Zealand

  10. MAUPITI: On-Device Prototype-Based Learning on a Smart Infrared Sensor

    Aug 7, 2026Beatrice Alessandra Motetti, Tanguy Dugas du Villard, Matteo Risso +7Prototype-Based ClassificationOn-Device Training

    Politecnico di Torino, Turin, Italy · STMicroelectronics, Cornaredo, Italy

  11. Graph Machine: Exploring Edge Mechanisms as an Inductive Bias

    Aug 7, 2026Lintai HouGraph Structure LearningNeural Algorithmic Reasoning

    Iter Labs

  12. Design-Time Optimization of Deep Neural Networks for Intermittent Learning on Microcontrollers

    Aug 4, 2026Jakob Schubert, Maximilian Kasper, Maximilian Linke +5On-Device TrainingEnergy-Efficient ML

    Fraunhofer Institute for Integrated Circuits IIS, Nürnberg, Germany · Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany · Ruhr University Bochum (RUB), Bochum, Germany +2

  13. Versatile On-device Adaptation at the Edge by Unifying Few-shot, Zero-shot, Continual, and In-context Learning

    Jul 31, 2026Douwe den Blanken, Martin Lefebvre, Charlotte FrenkelZero-Shot LearningOn-Device Training

    Microelectronics Department (EEMCS Faculty), Delft University of Technology, 2628 CD Delft, Netherlands

  14. OsteoCAD: A Human-in-the-Loop Cloud-Edge Framework for Bone Tumor Segmentation

    Jul 31, 2026Maximo Rodriguez-Herrero, Dante D. Sanchez-Gallegos, Heriberto Aguirre-Meneses +3Interactive Medical Image SegmentationMedical Image Segmentation

    Department of Computer Science University Carlos III of Madrid, Leganes, Spain · Instituto Nacional de Rehabilitacion “Luis Guillermo Ibarra Ibarra”, Mexico City, Mexico · Cinvestav Tamaulipas, Cd. Victoria, Mexico

  15. Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras

    Jul 30, 2026Edoardo Ragusa, Giovanni Paolo Canuti, Simone Lugani +2Hardware-Aware NASEdge ML

    DITEN, University of Genoa, Genova, Italy

  16. RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment

    Jul 29, 2026Hansi Karunarathna, Nirhoshan Sivaroopan, Chamara Madarasingha +2Human Activity RecognitionCost-Aware Inference

    University of Sydney, Australia · Curtin University, Australia · Colorado State University, USA

  17. Multi-primitive in-memory computing for Monte Carlo tree search

    Jul 24, 2026Tergel Molom-Ochir, Benjamin F. Morris, Yintao He +6Compute-in-MemoryEnergy-Efficient ML

    Department of Electrical and Computer Engineering, Duke University, Durham, 27708, NC, USA. · Hewlett Packard Labs, Milpitas, 95035, CA, USA.

  18. Hardware-Software Co-Design for Float16 On-Device Training on RISC-V Single-Core

    Jul 23, 2026Benjamin Hubinet, Pierre-Alain Moellic, Olivier Savry +2On-Device TrainingHardware-Software Co-Design

    CEA-Leti, Mines Saint-Etienne, Equipe Commune SAS, F-13541 Gardanne, France · Univ. Grenoble Alpes, CEA-Leti, F-38000 Grenoble, France · Mines Saint-Etienne, CEA-Leti, Centre CMP, Equipe commune SAS, F-13541 Gardanne, France

  19. Self-organizing Architecture of Receptron Units: a Hardware-Aware Framework for Edge Intelligence

    Jul 22, 2026Stefano Radice, Ludovico Casaccia, Riccaro Emanuele Beccalli +2Shallow Neural NetworksNeuromorphic Computing

    Department of Physics “Aldo Pontremoli” and CIMaINa University of Milano Milano, Italy

  20. Edge Intelligence in Civil Aviation: Paradigms, Techniques, and Applications

    Jul 22, 2026Wenbin Li, Zhongtian Liao, Bolin Liu +4Edge InferenceEdge Computing

    China Southern Digital Intelligence Technology (Guangdong) Co., Ltd. China Southern Airlines Co., Ltd. Guangzhou, China

  21. QScheduler: Adaptive Gradient Sampling for Zeroth-Order On-Device Training on INT8 NPUs

    Jul 21, 2026Victor Felipe Domingues Do Amaral, Pierre Demaj, Erwan Libessart +3On-Device TrainingZeroth-Order Optimization

    GeePs · STMicroelectronics, France · GeePs, CNRS, CentraleSup´elec, Universit´e Paris-Saclay, Sorbonne Universit´e, France

  22. Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator

    Jul 20, 2026Mateusz Piechocki, Alessandro Capotondi, Marek KraftOn-Device TrainingEdge ML

    Poznan University of Technology, Institute of Robotics and Machine Intelligence, Poznan, Poland · University of Modena and Reggio Emilia, The High-Performance Real-Time Laboratory, Modena, Italy

  23. A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment

    Jul 20, 2026Nikola Pižurica, Matteo Risso, Nikola Milović +4GPU Kernel OptimizationBayesian Inference

    Computer Science Center, University of Montenegro · Fain Tech, Podgorica, Montenegro · Department of Control and Computer Engineering, Politecnico di Torino +2

  24. Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning

    Jul 13, 2026Hao Kong, Di Liu, Xiangzhong Luo +5Efficient Neural Network InferenceConvolutional Neural Networks

    School of Computer Science and Engineering, Nanyang Technological University, Singapore · HP-NTU Digital Manufacturing Corporate Lab, Nanyang Technological University, Singapore · Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway. +1

  25. On-Device Adaptive Battery Power Prediction for Electric Vehicles

    Jul 10, 2026Avik Bhatnagar, Anton Paule, Tobias Schuermann +2On-Device TrainingContinual Test-Time Adaptation

    FZI Research Center for Information Technology, University of Tübingen Germany

  26. Federated Low-Rank Koopman Learning for Multivariate Time-Series Anomaly Detection in IoT Systems

    Jul 9, 2026Tung-Anh Nguyen, Van-Phuc Bui, Anh Tuyen Le +4Koopman Operator LearningEdge ML

    Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW, 2007, Australia · Faculty of Information Technology, FPT University, Vietnam · School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam

  27. Low-Power License Plate Detection and Recognition on a RISC-V Multi-Core MCU-Based Vision System

    Jul 7, 2026Lorenzo Lamberti, Manuele Rusci, Marco Fariselli +2Energy-Efficient MLTiny ML

    Department of Electrical, Electronic and Information Engineering - University of Bologna, Italy · GreenWaves Technologies, Grenoble, France · Integrated System Laboratory - ETH Zurich, Switzerland

  28. Energy-Efficient GPU DVFS for Fine-Tuning of SLMs on Resource-constrained Embedded Devices

    Jul 7, 2026Jurn-Gyu Park, Sanzhar Zholdybayev, Aidar Amangeldi +1Fine-TuningEnergy-Efficient ML

    School of Engineering and Digital Sciences, Nazarbayev University, 010000 Astana, Kazakhstan

  29. Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models

    Jul 6, 2026Tim Lenz, Maurice Heide, Marco Gustav +2Computational PathologyPathology Foundation Models

    EKFZ for Digital Health, TU Dresden, Dresden, Germany · Pathology, University of Augsburg, Augsburg, Germany · Bavarian Cancer Research Center (BZKF), Augsburg, Germany +3

  30. Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks

    Jul 1, 2026MD Azizul Hakim, Md Shihab Uddin, Talha Ibne AnisIoT Intrusion DetectionNetwork Intrusion Detection

    Department of Computer Science and Technology, Bangladesh Sweden Polytechnic Institute Kaptai, Rangamati, Chittagong 4530, Bangladesh · Department of Electrical Engineering, Bangladesh Sweden Polytechnic Institute Kaptai, Rangamati, Chittagong 4530, Bangladesh