Heterogeneous Edge Devices

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13 papers in the last 28 days · 0.2% of indexed attention

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Period ending 2026-09-21

5 new papers

A weekly snapshot of new work published in Heterogeneous Edge Devices.

Period ending 2026-09-14

2 new papers

A weekly snapshot of new work published in Heterogeneous Edge Devices.

Period ending 2026-09-07

4 new papers

A weekly snapshot of new work published in Heterogeneous Edge Devices.

136 papers

Latest in Heterogeneous Edge Devices

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  1. Efficiently Distributed Federated Learning

    Sep 17, 2026Gianluca Mittone, Robert Birke, Marco AldinucciFederated LearningHeterogeneous Edge Devices

  2. Fast-Convergent Meta-RL via Gradient-Clustered BS Sampling for Edge Caching

    Sep 14, 2026Farnaz Niknia, Ping WangMeta-LearningHeterogeneous Edge Devices

  3. Proportional-Fair Resource Allocation and Dual-Threshold Early-Exit Inference for Secure Cooperative Multi-Layer Edge Intelligence

    Sep 14, 2026Thai T. Vu, John Le, Tu N. Nguyen +3Heterogeneous Edge DevicesMobilenetv2

  4. Sylvas: Synergistic Learning Value based Device Scheduling in Federated Continual Learning

    Sep 14, 2026Yuxuan Sun, Yuxuan Bai, Tan Chen +2Efficient Continual LearningHeterogeneous Edge Devices

  5. FedLTLib: A Comprehensive Benchmark for Federated Long-Tail Learning

    Sep 14, 2026Changkun Lin, Junxiao WangFederated LearningFedavg

  6. EMMI: Edge Multi-Modal Intelligence for Communication-Efficient MLLM Inference via Fused Representation Compression

    Sep 11, 2026Motahare Mounesan, Irfan KhanHeterogeneous Edge DevicesMulti-Modal Large Language Models

  7. CoordFormer: Give Me Any Coordinates and I Will Give You Labels

    Sep 8, 2026Iacopo Curti, Pierluigi Zama Ramirez, Alioscia Petrelli +1Dense Semantic SegmentationHigh-Resolution

  8. Non-Coherent Over-the-Air Federated Learning: Protocol, Convergence, and Device Scheduling

    Sep 8, 2026Haifeng Wen, Nicolò Michelusi, Osvaldo Simeone +2Federated LearningWireless Resource Allocation

  9. A Measurement Study of LLM Inference Trade-offs Across Edge Continuum Hardware

    Sep 8, 2026Maysam Khatib, Moysis Symeonides, Demetris Trihinas +2LLM Inference EfficiencyHeterogeneous Edge Devices

  10. Privacy Leakage in Federated Learning: Gradient-Based Client Identity Inference and Defenses for Inertial Sensing in Vehicular Edge Networks

    Sep 2, 2026Ali Akarma, Toqeer Ali Syed, Muhammad Khan +2Federated LearningPrivacy-Preserving Framework

  11. FractalNet-Based Heterogeneous Federated Learning for Orbital Edge Intelligence in Satellite Mega-Constellations: A Wildfire Case Study

    Sep 1, 2026Sai Puppala, Koushik SinhaHeterogeneous Federated LearningSatellite

  12. An Intelligent Decision Support System for Emotion Monitoring using Microscopic Fixational Dynamics

    Sep 1, 2026Xiangyu Shen, Feiyang Deng, Zijian Dai +4Eye TrackingWearable Devices

  13. Intelligent Edge Computing

    Aug 31, 2026Kalgi Gandhi, Minal BhiseHeterogeneous Edge DevicesCentral Processing Units

  14. Heterogeneity-Aware Belief Synchronization for Semantic Communication in AI-Native 6G Networks

    Aug 13, 2026Muhammad Hannan Akram, Muhammad Abubakar Rashid, Wassi Haider Kabir +3Semantic CommunicationsMobile Networks

  15. APEX: Adaptive Expert Prefetching for Memory-Efficient Edge MoE Inference

    Aug 12, 2026Alish Kanani, Layan Badawi, Umit Y. OgrasMixture-Of-Expert InferenceMixture-of-Experts Models

  16. FEAST: Federated Shared-Space Training for Resource-Heterogeneous Clients

    Aug 10, 2026Bostan Khan, Masoud DaneshtalabHeterogeneous Edge DevicesBandwidth Constraints

  17. FedA2L: Adaptive layer-wise learning rate adjustment in decentralized federated learning

    Aug 10, 2026Van Truong Vo, Khoa Nguyen, Taehong KimFedavgLearning Rates

  18. Hierarchical Multi-Task Federated Learning in VANETs

    Aug 8, 2026M. Saeid HaghighiFard, Sinem ColeriFederated LearningV2X

  19. PHOENIX: Fine-Tuned SLM-Powered Autonomous Satellite Lifetime Extension via Predictive Self-Healing and Multi-Agent AI Recovery

    Aug 7, 2026Sumaiya Islam, Harsha Kumara MoraliyageSatelliteHeterogeneous Edge Devices

  20. 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

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

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

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

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

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

    Aug 3, 2026Ngoc Hung Nguyen, Bjorn LandfeldtDeadlinesEdge Computing

  24. 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

  25. 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

  26. GQ-FSL: Green Quantized Federated Split Learning

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

  27. 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

  28. 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

  29. 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

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

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

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

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

  32. 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

  33. 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

  34. 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

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

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

  36. 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

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

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

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

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

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

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

  40. PFAdapter: Hierarchical LoRA Decomposition for Personalized Federated MLLMs

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

  41. 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

  42. Distributed Agent System: Fault-Tolerant Collaboration Among Embodied Agents

    Jul 12, 2026Kai Yu, Lu Chen, Hanqi LiMulti-Agent SystemsFault Tolerance

  43. DynaFilter: Cloud-driven Dynamic Filtering for Satellite Edge Intelligence

    Jul 11, 2026Ziyang Zhang, Jie Liu, Luca MottolaEdge ComputingHeterogeneous Edge Devices

  44. EvoLP: Self-Evolving Latency Predictor for Model Compression in Real-Time Edge Systems

    Jul 10, 2026Shuo Huai, Hao Kong, Shiqing Li +5Heterogeneous Edge DevicesInference Latency

  45. FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning

    Jul 9, 2026Lingyu Qiu, Daniela Annunziata, Stefano Izzo +2Federated LearningFedavg

  46. Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems

    Jul 9, 2026Shuo Huai, Di Liu, Hao Kong +5Federated LearningHeterogeneous Edge Devices

  47. EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAI

    Jul 8, 2026Hao Kong, Di Liu, Shuo Huai +5Graph Neural Network InferenceHeterogeneous Edge Devices

  48. Robust Federated Learning Under Real-World Client Churn

    Jul 8, 2026Dhruv Garg, Neha Lakhani, Debopam Sanyal +3Federated LearningHeterogeneous Edge Devices

  49. 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 +2License Plate Character DetectionRisc-V

  50. F-ACVAE: A Federated Adaptive Conditional Variational Auto-Encoder for Privacy-Preserving Intrusion Detection in IoT Networks

    Jul 6, 2026Mohammad Ansarimehr, Somayeh Changiz, Ehsan Baghishani +1Internet Of ThingIntrusion Detection

  51. Decentralised Federated Learning over Temporal Networks: The Role of Heterogeneities

    Jul 3, 2026Arash Badie-Modiri, Chiara Boldrini, Lorenzo Valerio +2Federated LearningHeterogeneity

  52. Federated Learning with Energy-Based Structured Probabilistic Inference

    Jun 29, 2026Dario Fenoglio, Daniil Kirilenko, Martin Gjoreski +1Federated LearningDistributional Learning

  53. AERIS: Aerial-Edge Role-Driven Intelligence at Runtime via Orchestrated Language-Model Swarm

    Jun 29, 2026Jiabin Lou, Haopeng Wang, Xinyu Liu +3Aerial Vision-Language NavigationAerial Robots

  54. Harvesting AI Computation at the Edge via Generic Approximation

    Jun 28, 2026Yihan Wang, Huiru Yan, Luxin Zhang +6Heterogeneous Edge DevicesCentral Processing Units

  55. An Open-Source LFSR-Based Stochastic Leaky Integrate-and-Fire Neuron in SkyWater 130 nm: Design, Stochastic Characterisation, and Rate Coding

    Jun 22, 2026Poornima Kumaresan, Santhosh SivasubramaniNeuromorphic HardwareAnd Mixed-Signal Circuits

  56. Priority-Aware Learning-Unlearning Correction for Dynamic Decentralized LoRA Fine-Tuning

    Jun 22, 2026Nuocheng Yang, Yechen He, Sihua Wang +3Federated LearningLow-Rank Adaptation

  57. Contactless Respiratory Monitoring on Heterogeneous Mobile Robots: A Multimodal Edge-Computing Framework

    Jun 16, 2026Milind Rampure, Shadman Sakib, Haley Patel +2Respiratory Sound ClassificationRobotics

  58. NARRAS: Edge-Triggered Distributed Inference for CSI-Based Localization in Vehicular IoT Networks

    Jun 10, 2026Rodrigo Oliver, Ricardo Vazquez Alvarez, Alejandro Lancho +1Robust LocalizationChannel State Information

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

    Jun 10, 2026Kaan Arda Akyol, Jakub Kacper Szeląg, Aydin Abadi +9Pediatric-Adult Electrocardiogram AlignmentHeterogeneous Edge Devices

  60. APEX: A Network-Native Time-Series Foundation Model for Forecasting and Anomaly Detection for Wireless Edge Operations

    Jun 10, 2026Swadhin Pradhan, Niloo Bahadori, Peiman AminiTime Series Foundation ModelsHeterogeneous Edge Devices