Resource-Constrained Edge Devices

Ask about this topic

Recent momentum

-29%

5 papers in the last 28 days · 0.1% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Also in Edge

Neighbouring directions

Heterogeneous Edge DevicesEdgeEdge ComputingNvidia Jetson Orin Nano

Weekly history

Recent digests

What was published in this topic, kept on the site without email delivery.

Period ending 2026-09-14

2 new papers

A weekly snapshot of new work published in Resource-Constrained Edge Devices.

Period ending 2026-09-07

4 new papers

A weekly snapshot of new work published in Resource-Constrained Edge Devices.

65 papers

Latest in Resource-Constrained Edge Devices

Open your feed →
CardsList

  1. Narrowband Voice Communication Using Streaming Neural Compression

    Sep 21, 2026Dahong Luo, Anannya Trehan, Aritrik Ghosh +1Neural Audio CodecsResource-Constrained Edge Devices

  2. A Mathematical Theory of Pragmatic Information

    Sep 10, 2026Kai Niu, Ping ZhangInformation-Theoretic LimitsTheoretical Foundations

  3. PELM: Power Efficient On-Device LLM Inference with Speculative Decoding and Dynamic Voltage Frequency Scaling

    Sep 9, 2026Weisi Yang, Stephen XiaLLM Inference EfficiencyResource-Constrained Edge Devices

  4. Photonic reservoir computing with dimensionally compressed readout

    Sep 7, 2026Gerald Kobi, Mohab Abdalla, Miguel C. Soriano +1Reservoir ComputingReservoir

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

    Aug 31, 2026Sebastian Buschjäger, Nuwan Gunasekara, Heitor Murilo GomesResource-Constrained Edge DevicesSubstantial Memory

  6. On the Instance Hardness as a Decision Criterion in TinyML Systems

    Aug 30, 2026Tobiasz Puslecki, Krzysztof WalkowiakResource-Constrained Edge DevicesComputational Cost

  7. Breaking the Compression Barrier: Cross-Architecture Compression Boundary Learning via Reverse Regrowth

    Aug 17, 2026Zhaocen Liu, Satvik Praveen, Yi ShengContext CompressionResource-Constrained Edge Devices

  8. MergeOver: Post-Training Token Merging for Recursive Vision Transformers

    Aug 13, 2026Junseo Kim, Uraz Odyurt, Amirreza YousefzadehSelf-Supervised Vision TransformersVision Transformer

  9. A Cloud-Edge System for Multimodal Clinical Screening in Resource-Constrained Rural Settings

    Aug 13, 2026Hei Ting, Chan, Chenwei Wu +8Edge ComputingResource-Constrained Edge Devices

  10. AS-FedBridge: Pseudo-Spike Bridge Distillation for Heterogeneous ANN-SNN Federated Learning

    Aug 4, 2026Shengyang Li, Yiting Dong, Liuyang Song +5Spiking Neural NetworksHeterogeneous Federated Learning

  11. Unsupervised Multidomain Approaches to Named Entity Recognition with Small Datasets

    Aug 2, 2026Israel Fianyi, James Montgomery, Soonja YeomNamed-Entity RecognitionTransfer Learning

  12. GQ-FSL: Green Quantized Federated Split Learning

    Jul 31, 2026Idan Roth, Lutz LampeResource-Constrained Edge DevicesHeterogeneous Edge Devices

  13. From Data to Device: ELMOD An Efficient German-First 2.7B Language Model for Mobile Inference

    Jul 27, 2026Darina Gold, Alexander Schwirjow, Viktor Haag +4Efficient InferenceResource-Constrained Edge Devices

  14. Profiling Lightweight Large Language Models

    Jul 23, 2026Tomohiro Harada, Enrique Alba, Gabriel LuqueLLM Inference EfficiencyProfiling

  15. Taming the Security-Energy Paradox: A Green AI Approach to Optimized Android Malware Detection

    Jul 22, 2026Shrinidhi Sridhar, Vikas K. MalviyaMobilenetv2Resource-Constrained Edge Devices

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

    Jul 20, 2026Nikola Pižurica, Matteo Risso, Nikola Milović +4BayesianResource-Constrained Edge Devices

  17. Constraint-Driven Model Optimization: An Industry Framework for Selecting Compression and Acceleration Techniques in Modern Machine Learning Systems

    Jul 15, 2026Dhruv Shivkant, Saket Mohanty, Utkarsh WadhwaLlm-Based Optimization ModelingResource-Constrained Edge Devices

  18. Adaptive Model Compression (AMC): Saliency-Driven Resource Allocation for Ultra-Low-Power Transformer Inference

    Jul 11, 2026Jiayin Hu, Kai Yuan, Vanessa Hu +3Resource-Constrained Edge DevicesGenerative Image Compression

  19. MobileWan: Closing the Quality Gap for Mobile Video Diffusion

    Jul 7, 2026Mohsen Ghafoorian, Denis Korzhenkov, Adil Karjauv +9Pre-Trained Video Diffusion ModelsHigh-Fidelity Video Generation

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

    Jul 7, 2026Jurn-Gyu Park, Sanzhar Zholdybayev, Aidar Amangeldi +1Single Graphics Processing UnitResource-Constrained Edge Devices

  21. MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices

    Jul 7, 2026Parsa Hassani Shariat Panahi, Amir Hossein Jalilvand, M. Hassan NajafiMobilenetv2Resource-Constrained Edge Devices

  22. Displacement Preserving Relational Distillation for Robust Medical Segmentation

    Jul 6, 2026Zhicheng Ding, Xinyu Chu, Jung Im Choi +5Medical Image SegmentationResource-Constrained Edge Devices

  23. A Spiking Sequence Generator for Polar Trajectories on Neuromorphic Hardware

    Jul 2, 2026William R. P. Nourse, Roger D. QuinnNeuromorphic HardwareNeural Control

  24. Active Sensing for RIS-Aided Tracking and Power Control: A Hybrid Neuroevolution and Supervised Learning Approach

    Jun 30, 2026George Stamatelis, Hui Chen, Henk Henk Wymeersch +1Reconfigurable Intelligent SurfacesWireless Resource Allocation

  25. Commerge: Communication-Efficient, Robust, and Fast LiDAR Map Merging Framework for Multi-Robot Coordination in Resource-Constrained Scenarios

    Jun 24, 2026Hogyun Kim, Jiwon Choi, Juwon Kim +4Multi-Robot SystemsLight Detection And Ranging

  26. Federated Temporal Attention Intelligence for Cyber-Resilient IoMT: Lightweight Digital Twins and PPO-Driven Honeypot Deception

    Jun 19, 2026Syed Zeeshan Haider, Anwar Shah, Muneeb Arif +2Internet Of ThingFederated Reinforcement Learning

  27. S4oP: Operator-level Pruning of Structured State Space Models for Resource-Constrained Devices

    Jun 16, 2026Marco Deano, Filippo Ziche, Nicola BombieriState Space ModelsHeterogeneous Pruning Scores

  28. Reconfigurable Computing Challenge: Transformer for Jet Tagging on Versal AI Engines

    Jun 16, 2026Gram Koski, Sean Lipps, Zhenghua Ma +2Transformer ArchitecturesAccelerator

  29. Online LLM Selection via Constrained Bandits with Time-Varying Demand

    Jun 16, 2026Yin Huang, Qingsong Liu, Jie XuOptimal Bandit AlgorithmsMulti-Armed Bandits

  30. ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification

    Jun 13, 2026Anh Tran, Khanh Tran, Cuong DoElectrocardiogram ClassificationResource-Constrained Edge Devices

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

    Jun 10, 2026Farough Shayeste Roodi, Parham Zilouchian Moghaddam, Mahdi Mohammadi-nasab +3Wearable DevicesResource-Constrained Edge Devices

  32. TITAN-FedAnil+: Trust-Based Adaptive Blockchain Federated Learning for Resource-Constrained Intelligent Enterprises

    Jun 3, 2026Muhammad Hadi, Muhammad Jahangir, Talha Shafique +1Federated LearningHeterogeneous Edge Devices

  33. SEArch: Optimistic Policy Selection Between Scene Noise and Drift for UAV Radar Search

    May 31, 2026Noor Khial, Naram Mhaisen, Loay Ismail +1Unmanned Aerial VehiclesRadar

  34. CoMIC: Collaborative Memory and Insights Circulation for Long-Horizon LLM Agents in Cloud-Edge Systems

    May 30, 2026Yannan Wang, Longli Yang, Zhen Liu +2Edge ComputingLong-Horizon Agents

  35. CRB-Guided Framework Design and Resource Allocation for Indoor mmWave ISCC Systems

    May 28, 2026Zhonghao Liu, Yahao Ding, Yinchao Yang +1Integrated Sensing And CommunicationMillimeter Wave

  36. Joint Optimization of Training and Inference in Federated Edge Learning via Constrained Multi-Objective Deep Reinforcement Learning

    May 25, 2026Zhen Li, Jun Cai, Chao Yang +1Heterogeneous Edge DevicesResource-Constrained Edge Devices

  37. Parameter-Efficient CT Reconstruction via Deep Graph Laplacian Regularization

    May 25, 2026Veera Varuni Radhakrishnan, Chinthaka Dinesh, Qurat-ul-Ain AzimLow-Dose Computed TomographyTomography

  38. Device Context Protocol: A Compact, Safety-First Architecture for LLM-Driven Control of Constrained Devices

    May 24, 2026Dongxu YangResource-Constrained Edge DevicesLarge Language Model Safety

  39. Memory-Efficient Partitioned DNN Inference on Resource-Constrained Android Crowds

    May 20, 2026Lakshani Manamperi, Disumi Pathirana, Thiwanka Pathirana +2Resource-Constrained Edge DevicesGraph Neural Network Inference

  40. FusionSense: Tri-Stage Near-Sensor Learning for Runtime-Adaptive Multimodal Edge Intelligence

    May 19, 2026Sanggeon Yun, Ryozo Masukawa, Minhyoung Na +5Multi-Sensor FusionMulti-Modal Sensing

  41. Decentralized Direct Volume Rendering: A Browser-Native GPU Architecture for MRI Digital Twins in Resource-Constrained Settings

    May 19, 2026Oserebameh Augustine BeckleyRasterizationResource-Constrained Edge Devices

  42. Neuromorphic Control of a Flapping-Wing Robot on Resource-Constrained Hardware

    May 19, 2026Rim El Filali, Chenrui Feng, Chao Gao +1Neuromorphic HardwareNeural Control

  43. Quantized Machine Learning Models for Medical Imaging in Low-Resource Healthcare Settings

    May 19, 2026Sumanth Meenan Kanneti, Aryan ShahBrain Tumor ClassificationMedical Image Classification

  44. See Silhouettes in Motion with Neuromorphic Vision

    May 18, 2026Pei Zhang, Shijie Lin, Zhou Ge +2BinarizationVision Sensors

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

    May 17, 2026Vedant Waykole, Haroon R. LoneFederated LearningHeterogeneous Edge Devices

  46. Going Beyond the Edge: Distributed Inference of Transformer Models on Ultra-Low-Power Wireless Devices

    May 15, 2026Alexander Gräfe, Ding Huo, Vincent de Bakker +3Resource-Constrained Edge DevicesParallel

  47. TFZ-Tree: An Ultra-Lightweight Waveform Classification Framework for Resource-Constrained Devices

    May 15, 2026Hao Wang, Kuang Zhang, Yonggang Chi +3Automatic Modulation ClassificationWaveforms

  48. Federated Learning of Spiking Neural Networks under Heterogeneous Temporal Resolutions

    May 14, 2026Sanja Karilanova, Subhrakanti Dey, Ayça ÖzçelikkaleSpiking Neural NetworksHeterogeneous Federated Learning

  49. Efficient Sensor Fusion for Gesture Recognition on Resource-Constrained Devices

    May 13, 2026Pietro Bartoli, Christian Veronesi, Tommaso Bondini +2Hand Gesture RecognitionMulti-Sensor Fusion

  50. Contextual Bandits for Resource-Constrained Devices using Probabilistic Learning

    May 13, 2026Marco Angioli, Kevin Johansson, Antonello Rosato +2Linear Contextual BanditsResource-Constrained Edge Devices

  51. Native Explainability for Bayesian Confidence Propagation Neural Networks: A Framework for Trusted Brain-Like AI

    May 12, 2026Georgios Makridis, Georgios Fatouros, John Soldatos +2Bayesian Neural NetworksExplainability

  52. GELATO: Generative Entropy- and Lyapunov-based Adaptive Token Offloading for Device-Edge Speculative LLM Inference

    May 11, 2026Zengzipeng Tang, Yuxuan Sun, Wei Chen +2LLM Inference EfficiencySpeculative Decoding

  53. PoTAcc: A Pipeline for End-to-End Acceleration of Power-of-Two Quantized DNNs

    May 7, 2026Rappy Saha, Jude Haris, Nicolas Bohm Agostini +2Sparse Deep Neural Network AcceleratorsAccelerator

  54. iPhoneBlur: A Difficulty-Stratified Benchmark for Consumer Device Motion Deblurring

    May 7, 2026Abdullah Al Shafi, Kazi Saeed AlamMotion BlurMobilenetv2

  55. Hardware-Aware Neural Feature Extraction for Resource-Constrained Devices

    May 5, 2026Francesco Tosini, Simone Pedroni, Christian Veronesi +5Resource-Constrained Edge DevicesFeature Extraction

  56. MultiSense-Pneumo: A Multimodal Learning Framework for Pneumonia Screening in Resource-Constrained Settings

    May 4, 2026Dineth Jayakody, Pasindu Thenahandi, Chameli DommanigeRespiratory Sound ClassificationMultimodal Clinical Data

  57. BitRL: Reinforcement Learning with 1-bit Quantized Language Models for Resource-Constrained Edge Deployment

    Apr 27, 2026Md. Ashiq Ul Islam Sajid, Mohammad Sakib Mahmood, Md. Tareq Hasan +3Resource-Constrained Edge DevicesLarge Language Model Quantization

  58. Gaussians on a Diet: High-Quality Memory-Bounded 3D Gaussian Splatting Training

    Apr 21, 2026Yangming Zhang, Jian Xu, Chaojian Li +73D Gaussian SplattingReal3D-Ad Datasets

  59. Resource-constrained Project Scheduling with Time-of-Use Energy Tariffs and Machine States: A Logic-based Benders Decomposition Approach

    Jan 10, 2026Corentin Juvigny, Antonín Novák, Jan Mandík +1Mixed-Integer ProgrammingOptimal Scheduling

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

    Jan 2, 2026Zhiheng Guo, Zhaoyang Liu, Zihan Cen +5Heterogeneous Edge DevicesOpen Radio Access Networks