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.

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  1. CoVStream: Edge-Cloud Collaboration for Understanding of Long Video Streams

    Jun 22, 2026Xu Liu, Guikun Chen, Zihao Yan +2Streaming Video UnderstandingLong-Video Understanding

    The State Key Lab of Brain-Machine Intelligence, Zhejiang University · vivo Mobile Communication Co., Ltd., Shenzhen, China.

  2. From Handcrafted Features to Functional Edge Learning: Evolution of EEG Seizure Detection Frameworks

    Jun 20, 2026Sepideh Kheirollahi, Mohammad Rasoul RoshanshahElectroencephalographyEEG Seizure Detection

    School of Electrical and Computer Engineering College of Engineering, University of Tehran Tehran, Iran

  3. Efficient Neural Network Model Selection for Few-Class Application Datasets

    Jun 18, 2026Bryan Bo Cao, Abhinav Sharma, Lawrence O'Gorman +2Model SelectionClassification

    Department of Computer Science Stony Brook University Stony Brook, NY 11790, USA · Nokia Bell Labs Murray Hill, NJ 07974, USA

  4. Embedded Machine Learning for Microcontroller-Class Edge Devices: Data, Feature, Evaluation, and Deployment Pipelines

    Jun 16, 2026Mostafa DarvishiEfficient Neural Network InferenceKeyword Spotting

  5. An affordable hardware-aware neural architecture search for deploying convolutional neural networks on ultra-low-power computing platforms

    Jun 15, 2026Andrea Mattia Garavagno, Edoardo Ragusa, Antonio Frisoli +1Efficient Neural Network InferenceTiny ML

    Dept. of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN), University of Genoa, Genoa, Italy · Department of Excellence in Robotics & AI and Institute of Mechanical Intelligence, Scuola Superiore Sant’Anna, 56127 Pisa, Italy

  6. Embedded Arena: Iterative Optimization via Hardware Feedback

    Jun 15, 2026Zhihan Zhang, Alexander Le Metzger, Jiuyang Lyu +10Large Language Model-Guided OptimizationTiny ML

    University of Washington · University of California San Diego · Northeastern University

  7. CogGuard: Cognitive and Operational Profiling for Proactive Warning in Edge Intelligent Services

    Jun 13, 2026Zhi Yao, Weihao Chen, Zhiqing Tang +4Fine-TuningUser Modeling

    Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China · Faculty of Arts and Science, Beijing Normal University, Zhuhai, China · School of Artificial Intelligence, Beijing Normal University, Beijing, China +2

  8. On-Device Neural Architecture Search

    Jun 12, 2026Andrea Mattia Garavagno, Edoardo Ragusa, Paolo Gastaldo +2Hardware-Aware NASEdge ML

    Department of Electrical, Electronic, Telecommunication Engineering and Naval Architecture, DITEN University of Genoa, Genoa 16145, Italy · Department of Excellence in Robotics & AI, Scuola Superiore Sant’Anna, Piazza Martiri della Libert`a 33, Pisa 56127, Italy · Institute of Mechanical Intelligence, Scuola Superiore Sant’Anna, Ghezzano, 56010 Pisa, Italy +1

  9. Running hardware-aware neural architecture search on embedded devices under 512MB of RAM

    Jun 12, 2026Andrea Mattia Garavagno, Edoardo Ragusa, Paolo Gastaldo +1Hardware-Aware NASConvolutional Neural Networks

    Department of Electrical, Electronic, Telecommunication Engineering and Naval Architecture, DITEN University of Genoa, Genoa 16145, Italy · Department of Excellence in Robotics & AI, Institute of Mechanical Intelligence, Scuola Superiore Sant’Anna, Pisa 56127, Italy

  10. Reducing the Complexity of Deep Learning Models for EEG Analysis on Wearable Devices

    Jun 10, 2026Farough Shayeste Roodi, Parham Zilouchian Moghaddam, Mahdi Mohammadi-nasab +3ElectroencephalographyEEG Seizure Detection

    School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran · Intelligent Future Technologies (IFT), Mälardalen University, Väster˚as, Sweden · Department of Computer Systems, Tallinn University of Technology (TalTech), Tallinn, Estonia

  11. Privacy-Preserving Federated Autoencoder for ECG Anomaly Detection on Edge Devices

    Jun 10, 2026Kaan Arda Akyol, Jakub Kacper Szeląg, Aydin Abadi +9Electrocardiogram ClassificationReconstruction-Based Anomaly Detection

    School of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom

  12. HydraCIL: Decoupled Class-Incremental Learning through Prototype-Guided Multi-Head Classifiers

    Jun 8, 2026Daniel Vila-Cruz, Laura Morán-Fernández, Verónica Bolón-CanedoClass-Incremental LearningEnergy-Efficient ML

    Universidade da Coruña CITIC A Coruña, Spain

  13. AlignFed: Alignment-Aware Asynchronous Federated Fine-Tuning for Large Language Models in Heterogeneous Edge Environments

    Jun 6, 2026Yan Wang, Ziyi Gao, Rui WangLLM Fine-TuningAsynchronous Federated Learning

    Department of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China

  14. Model Multiplicity for Adversarial Detection in Small Language Model Training on Edge Devices

    Jun 5, 2026Stefan Behfar, Richard MortierEdge MLFederated Learning

    Computer Lab, University of Cambridge, Cambridge, United Kingdom

  15. GenAutoML: An Agentic Framework for Dynamic Architecture Generation and Optimization in Time-Series Analysis

    Jun 4, 2026Oleeviya Babu Poikarayil, Cédric Schockaert, Abdulrahman Nahhas +3Efficient Neural Network InferenceLarge Language Model-Guided NAS

    Paul Wurth S.A., Luxembourg · Otto-von-Guericke University, Magdeburg, Germany · Technical University of Munich, Germany

  16. TinyML-Driven Cybersecurity for Autonomous Spacecraft: Latency-Accuracy Analysis for SPARTA RF and Cyber Threat Detection

    Jun 4, 2026Van Le, Trevor Tran, Tan LeAutonomous Cyber DefenseCybersecurity

    Virginia Tech, Blacksburg, VA 24061, USA · Hampton University, Hampton, VA 23669, USA

  17. An RRAM-based Hardware Implementation of a Radial Basis Function Neuron for Edge Classifiers

    Jun 2, 2026Georgios Papandroulidakis, Shady Agwa, Themis ProdromakisCompute-in-MemoryEdge ML

    Centre for Electronics Frontiers, Institute of Micro and Nano Systems, School of Engineering, The University of Edinburgh, EH9 3BF, UK.

  18. Toward a Modular Architecture for Embedded AI Agent Systems at the Edge

    Jun 1, 2026Marcus Rüb, Michael GerhardsAI Agent SafetyAI Agent Governance

    Foresthub.Ai Villingen, Germany · Deloitte Consulting DÜsseldorf, Germany

  19. ArrythML: An Autoencoder-Based TinyML Approach for On-Device Arrhythmia Detection on Resource-Constrained Embedded Systems

    Jun 1, 2026Nagarajan S, Kurian PolachanElectrocardiogram ClassificationReconstruction-Based Anomaly Detection

    International Institute of Information Technology, Bangalore, India

  20. What changes after deployment? A survey on On-device Learning in TinyML

    May 29, 2026Massimo Pavan, Luca Pezzarossa, Fabrizio Pittorino +2On-Device TrainingDistribution Shift

    Technical University of Denmark (DTU), Kongens Lyngby, Denmark · Politecnico di Milano, Milan, Italy

  21. Active Continual Learning with Metaplastic Binary Bayesian Neural Networks

    May 28, 2026Kellian Cottart, Théo Ballet, Djohan Bonnet +1Bayesian Neural NetworksBinary Neural Networks

    Université Paris-Saclay, CNRS, Centre de Nanosciences et de Nanotechnologies, Palaiseau, France · Forschungszentrum Jülich, Germany

  22. Dot-Flik: A Scalable Edge AI Architecture for Distributed Insect Monitoring

    May 27, 2026Mattia Consani, Denisa-Andreea Constantinescu, Åse Håtveit +4Edge ComputingInternet of Things

    ´Ecole Polytechnique F´ed´erale de Lausanne (EPFL), Lausanne, Switzerland · Massachusetts Institute of Technology (MIT), Cambridge, MA, USA

  23. StreamSplit: Continuous Audio Representation Learning via Uncertainty-Guided Adaptive Splitting

    May 26, 2026Minh K. Quan, Pubudu N. PathiranaContrastive LearningAudio Representation Learning

    School of Engineering, Deakin University Waurn Ponds, Australia

  24. FD-RAG: Federated Dual-System Retrieval-Augmented Generation

    May 22, 2026Tianhao Gao, Kai Yang, Yiyang LiRetrieval-Augmented GenerationMemory-Augmented Language Models

    School of Computer Science and Technology, Tongji University

  25. AutoMCU: Feasibility-First MCU Neural Network Customization via LLM-based Multi-Agent Systems

    May 20, 2026Penglin Dai, Zijie Zhou, Xincao Xu +3Efficient Neural Network InferenceHardware-Aware NAS

    School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu 611756, China · Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen 518110, China · School of Computer Science and Engineering, Northeastern University, Shenyang 110819, China

  26. FTerViT: Fully Ternary Vision Transformer

    May 20, 2026Szymon Ruciński, Pietro Bonazzi, Engin Türetken +3Ternary QuantizationVision Transformer

    CSEM, Neuchâtel, Switzerland · ETH Zürich, Zurich, Switzerland

  27. Embedded ConvNet Ensembles: A Lightweight Approach to Recognize Arabic Handwritten Characters

    May 18, 2026Mohsine El Khayati, Rachid Elouahbi, Abdelillah SemmaEfficient Neural Network InferenceEnsemble Learning

    Systems theory and informatics laboratory Moulay Ismail University of Meknes Meknes, Morocco · Laboratory of Computer Science and Applications Moulay Ismail University of Meknes Meknes, Morocco · Computer Science Dept. EST of Sidi Bennour Chouaib Doukkali University Eljadida, Morocco

  28. Spiker-LL: An Energy-Efficient FPGA Accelerator Enabling Adaptive Local Learning in Spiking Neural Networks

    May 18, 2026Alessio Caviglia, Filippo Marostica, Alessandro Savino +1On-Device TrainingEnergy-Efficient ML

    Control and Computer Engineering Department, Politecnico di Torino, Turin, Italy

  29. Q-LocalAdam: Memory-Efficient Client-Side Adaptive Optimization for Edge Federated Learning

    May 17, 2026Vedant Waykole, Haroon R. LoneNon-IID Federated LearningEdge ML

    IISER Bhopal · India

  30. Sustainable Intelligence for the Wild: Democratizing Ecological Monitoring via Knowledge-Adaptive Edge Expert Agents

    May 15, 2026Jiaxing Li, Hao Fang, Chi Xu +5Knowledge RepresentationEdge ML

    Simon Fraser University, Vancouver, Canada · Wild Salmon Center, Portland, USA · Pacific Salmon Foundation, Vancouver, Canada +1