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Period ending 2026-09-21

16 new papers

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Period ending 2026-09-07

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  1. Synthetic LiDAR Data Generation and Deterministic Downsampling for Point Cloud Classification on the Edge

    Aug 7, 2026Niclas Meyer, Stefan ReitmannLight Detection And Ranging Point CloudsLight Detection And Ranging

  2. Human-Centered Explainable AI for TinyML Edge Devices: A Pareto-Based Selection Framework with LLM-Guided Design

    Aug 7, 2026Zeinab Dehghani, Dhavalkumar Thakker, Koorosh Aslansefat +4XaiExplainable Artificial Intelligence

  3. Summarize First, Download Later: Onboard VLMs for Bandwidth-Efficient Earth Observation

    Aug 7, 2026Junghwan Park, Sangcheol Sim, Woojin Cho +1Cloud-Aware Earth Observation SequencesEarth Observation

  4. From Points to Edges: Edge-Conditioned Spectral Operators for Physics-Sensitive PDE Learning

    Aug 7, 2026Zhentao Tan, Ruijie Quan, Yi YangPartial Differential Equation BenchmarksEdge

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

    Aug 7, 2026Lintai HouHeterogeneous Graph TransformersUnified Inductive Bias

  6. BALANCE: Hybrid Autoregressive-Speculative LLM Inference in Wireless Edge Networks

    Aug 6, 2026Guanqiao Qu, Shuo Chen, Qian Chen +2Heterogeneous Edge DevicesLLM Inference Efficiency

  7. Multi-Agent Reinforcement Learning for Online Traffic Scheduling in Time-Sensitive Application

    Aug 5, 2026Marcos Carvalho, Fatih Temiz, Shavbo Salehi +2SchedulingMulti-Agent Reinforcement Learning

  8. Multi-Agent Transformer for Queue-Level XR Traffic Scheduling in TSN Networks

    Aug 5, 2026Marcos Carvalho, Fatih Temiz, Shavbo Salehi +2Multi-Agent Reinforcement LearningScheduling

  9. Bimanual Manipulation Within an 8 GB Budget: Zero-Copy Sensing and Quantized ACT on an Entry-Level Jetson

    Aug 4, 2026Ekansh Singh, Eva Samuel, Alessandra Reneau +2Nvidia Jetson Orin NanoBimanual Manipulation

  10. Spatiotemporal Graph Transformer for Traffic Intelligence in Edge Computing

    Aug 4, 2026Laha Ale, Letian Lin, Na Cao +2Accurate Traffic ForecastingTemporal Graph Neural Networks

  11. Design and Evaluation of an AI-Enabled Cloud-Edge Architecture for Connected Precision Agriculture Farms

    Aug 4, 2026Deckshitha Angadi, Koteshwar Goud Surga, Nagaraju Lakkaraju +6Tomato DiseasesAgricultural Landscapes

  12. PhyAI: Real-Time Physical AI at the Edge, Scalable Rollouts in the Cloud

    Aug 4, 2026Chenghua Wang, Daliang Xu, Dongqi Cai +21Online InferenceArtificial Intelligence Systems

  13. 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

  14. Learning-Based Collaborative MEC for LLM Inference with Soft-Deadline Awareness via Transformer-Enhanced PPO

    Aug 3, 2026Ngoc Hung Nguyen, Bjorn LandfeldtDeadlinesEdge Computing

  15. Cluster-Aware Over-the-Air Federated Learning with Energy-Harvesting Devices: From Global Training to Model Personalization

    Aug 2, 2026Furkan Bagci, Busra Tegin, Mohammad Kazemi +1Federated LearningHeterogeneous Edge Devices

  16. VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks

    Aug 2, 2026Dongfu Yin, Jinquan ZhangVision-Language-Action ModelsEdge Computing

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

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

  18. TopoCompress: Topology Aware Token Compression Algorithm for Distributed Edge MoE Inference

    Aug 1, 2026Ning Li, Xinyu Wang, Xin Yuan +3Mixture-Of-Expert InferenceHeterogeneous Edge Devices

  19. HetRoute Heterogeneous and Cost-aware Collaborative Routing Framework for Distributed Edge MoE Inference

    Aug 1, 2026Xin Yuan, Ning Li, Wenchao Xu +2Mixture-Of-Expert InferenceHeterogeneous Edge Devices

  20. Latency-Tolerant Cloud-Edge Collaborative Vision-Language-Action Models via Emergent Representational Specialization

    Aug 1, 2026Daojie Peng, Fulong Ma, Bingtao Wang +2Pretrained Vision-Language-ActionEdge Computing

  21. GQ-FSL: Green Quantized Federated Split Learning

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

  22. 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 FrenkelFew-Shot LearningEdge

  23. The AnyLog Edge Data Fabric

    Jul 30, 2026Roy Shadmon, Mark Davidson, Eric Aquaronne +3Edge ComputingCloud

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

    Jul 30, 2026Edoardo Ragusa, Giovanni Paolo Canuti, Simone Lugani +2Robotic PerceptionRgb-Depth Cameras

  25. Think Short, Defer Smart, Act, and Repeat: Calibrated Reasoning and Uncertainty-Aware Deferral for Edge LLM Agents

    Jul 29, 2026Amirmohammad Farzaneh, Osvaldo SimeoneAgentic ReasoningLarge Language Model Agents

  26. NeoRacer: An Open, Standardized 1:12 Scale Autonomous Race Car for Benchmarking and Education

    Jul 29, 2026Koneshka Bandyopadhyay, Ansh Mehta, Bassel El Mabsout +1Autonomous RacingNvidia Jetson Orin Nano

  27. Post-Training at the Edge of Detectability: A Game-Theoretic Approach to Fine-Tuning

    Jul 29, 2026Keegan Harris, Brian W. Lee, Ian Waudby-Smith +3Reinforcement Fine-TuningKullback-Leibler Regularization

  28. Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment

    Jul 28, 2026Takeshi NishikawaEfficientnet EncoderImage Classification

  29. 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

  30. Energy Constrained Hierarchical Underwater Monitoring via Local Multi-Agent RAG

    Jul 27, 2026Mohamed Amine Janati, Laurent Gautier, Stéphane BarbotCoralNvidia Jetson Orin Nano

  31. OrchNAS: Orchestrated Neural Architecture Search Service for Personalised Federated Edge Intelligence

    Jul 24, 2026Keya Patel, Sajib Mistry, Sheik Mohammad Mostakim Fattah +1Heterogeneous Edge DevicesNeural Architecture Search

  32. A Self-Calibrating Agentic AI Framework for Autonomous Edge Resource Allocation

    Jul 24, 2026Fin Gentzen, Marla Grunewald, Iulisloi Zacarias +2Heterogeneous Edge DevicesLarge Language Model Agents

  33. Towards Faithful Graph Explanations with Synergistic Edge Effects via Granular Balls

    Jul 23, 2026Jiancu Chen, Shuyin Xia, Guan Wang +2Graph Neural NetworksExplainability

  34. Beyond Independent Optimization: Compression, MoE Routing, and Quantization Interactions in Multimodal Edge Intelligence

    Jul 23, 2026Jay Gor, Karm Dave, Akshita Abrol +3Heterogeneous Edge DevicesMixture-of-Experts Models

  35. Clustered Edge Intelligence: Beyond Just Convergence of Edge Computing and AI

    Jul 23, 2026Chinmaya Kumar Dehury, Boris Sedlak, Alaa Saleh +4Heterogeneous Edge DevicesEdge Computing

  36. Three-Pronged Spectral Control for Federated Parameter Efficient Fine Tuning

    Jul 23, 2026Shiva Raj Pokhrel, Dipsan Bhattarai, Anwar WalidParameter-Efficient Fine-TuningLow-Rank Adaptation

  37. Information-Theoretically Secure Aggregation for Lightweight Federated Learning: Resilient to Dropouts and Adversaries

    Jul 23, 2026Hyeong-Gun Joo, Songnam Hong, Dong-Joon ShinFederated LearningHomomorphic Encryption

  38. Profiling Lightweight Large Language Models

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

  39. CEDAR: Causal Edge Discovery for Autoregressive Processes

    Jul 22, 2026Mohammad FesangharyConditional IndependenceCausal Reasoning

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

    Jul 22, 2026Stefano Radice, Ludovico Casaccia, Riccaro Emanuele Beccalli +2Neuromorphic HardwareHeterogeneous Edge Devices

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

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

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

    Jul 22, 2026Wenbin Li, Zhongtian Liao, Bolin Liu +4CloudEdge

  43. Leveraging ECRAM for Edge Continual Learning

    Jul 22, 2026Nabila Tasnim, Haoran Liu, Qing Cao +1Efficient Continual LearningEdge Computing

  44. StepX-Edge: An On-Device UI Vision-Language Model via Architecture-Training-Deployment Co-Design

    Jul 20, 2026Yin Wang, Haotian Hu, Jineng Han +4Large Vision Language ModelsHuawei

  45. Beyond the Edge of Chaos: Stability-Expressivity Transfer in Reservoir Forecasting

    Jul 20, 2026Yao Du, Xingang WangReservoir ComputingChaos

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

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

  47. TAPAS: Throughput-adaptive Perception for Autonomous Systems

    Jul 19, 2026Aman Vyas, Vasista Kodumagulla, Zain Taufique +2Edge ComputingPerceptual Understanding

  48. Multi-Agent Scheduling with LLM-Assisted Contract Net Negotiation for Stream Processing in Mobile Edge Computing

    Jul 19, 2026Sabeur Lajili, Zaki BrahmiEdge ComputingHeterogeneous Edge Devices

  49. OrderMoE: An expert similarity driven distributed edge MoE inference

    Jul 19, 2026Xin Yuan, Ning Li, Quan Chen +2Mixture-Of-Expert InferenceMixture-of-Experts Models

  50. PolyQ: Codesigning End-to-End Quantization Framework for Scalable Edge CPU LLM Inference

    Jul 16, 2026Hyunwoo Oh, Suyeon Jang, Hanning Chen +4Weight-Only QuantizationLLM Inference Efficiency

  51. EdgeFaaS: A Function-based Framework for Edge Computing

    Jul 16, 2026Neha Vadnere, Yu-Ting Wang, Yitao Chen +2Heterogeneous Edge DevicesEdge Computing

  52. 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

  53. Active Beyond-Diagonal RIS Empowered Heterogeneous Edge Computing: A Distributional Reinforcement Learning Approach

    Jul 14, 2026Tianyu Pang, Hongyu LiWireless Resource AllocationReconfigurable Intelligent Surfaces

  54. Internet of Agentic Things: Networked AI Agents for Closed-Loop IoT Orchestration

    Jul 14, 2026Quanyan ZhuInternet Of ThingCyber-Physical System

  55. Jetson-PI: Towards Onboard Real-Time Robot Control via Foresight-Aligned Asynchronous Inference

    Jul 14, 2026Zebin Yang, Qi Wang, Yunhe Wang +6Real-Time InferenceNvidia Jetson Orin Nano

  56. Lightweight Multi-Scale Anomaly Detection for Resource-Constrained Edge Devices

    Jul 14, 2026Raheen Junaid Wani, Smruti R. SarangiReconstruction-Based Anomaly DetectionTime-Series Anomaly Detection

  57. Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models

    Jul 14, 2026Yi Li, Chen Li, Jiexiong LiuLLM Inference EfficiencyHeterogeneous Edge Devices

  58. PFAdapter: Hierarchical LoRA Decomposition for Personalized Federated MLLMs

    Jul 13, 2026Jing Liu, Kun Yang, Yan Wang +5Heterogeneous Edge DevicesLow-Rank Adaptation

  59. Securing LLMs in the Wild: Privacy and Security Challenges at the Edge

    Jul 13, 2026Ren-Yi Huang, Mingchen Li, Dumindu Samaraweera +1Large Language Model SafetyEdge Computing

  60. Edge Physical AI Deployment of Vision Transformers on Heterogeneous Edge GPU Targeting Autonomous Vehicles

    Jul 12, 2026Ashiyana Abdul Majeed, Mahmoud Meribout, Neethu Joseph +2Heterogeneous Edge DevicesReal-Time Inference