Heterogeneous Edge Devices

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Period ending 2026-09-21

5 new papers

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Period ending 2026-09-14

2 new papers

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Period ending 2026-09-07

4 new papers

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137 papers

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  1. 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

  2. Asynchronous Decentralized Federated Learning over Lossy Wireless Links via Reception- and Age-Aware Aggregation

    Jun 9, 2026Chanuka A. S. Hewa Kaluannakkage, Rajkumar BuyyaFederated LearningHeterogeneous Edge Devices

  3. CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon

    Jun 8, 2026Zheshun Wu, Ziyang Zhang, Changyao Lin +2Heterogeneous Edge DevicesEdge Computing

  4. LAEI: Layered Autonomous Edge Intelligence Framework for Robust UAV Swarm Operations

    Jun 8, 2026Changmin Park, Wooyong Jung, Hwangnam KimUnmanned Aerial Vehicle SwarmsUnmanned Aerial Vehicles

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

    Jun 6, 2026Yan Wang, Ziyi Gao, Rui WangHeterogeneous Edge Devices

  6. AI-Native Closed-Loop Security for 6G-Enabled Cyber-Physical Systems: From Edge Detection to Network-Wide Mitigation

    Jun 6, 2026Bilal Hussain, Muhammad Bilal, Tan Li +6Cyber-Physical SystemHeterogeneous Edge Devices

  7. Multi-SPIN: Multi-Access Speculative Inference for Cooperative Token Generation at the Edge

    Jun 3, 2026Haotian Zheng, Zhanwei Wang, Mingyao Cui +3Heterogeneous Edge DevicesWireless Resource Allocation

  8. 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

  9. E2LLM: Towards Efficient LLM Serving in Heterogeneous Edge/Fog Environments

    Jun 2, 2026Truong-Thanh Le, Amir Taherkordi, Hoang-Loc La +3Large Language Model ServingLLM Inference Efficiency

  10. Glass Box at Orbit: A Constitutional AI Verification Framework for Trustworthy Autonomous CubeSat Intelligence

    Jun 2, 2026Karthik Barma, Anil Sanneboyina, V C Premchand YadavArtificial Intelligence GovernanceVerifier

  11. Tiny Collaborative Inference for Occlusion-Robust Object Detection

    Jun 1, 2026Chieh-Tung Cheng, Mustafa Aslanov, Eiman KanjoObject DetectionHeterogeneous Edge Devices

  12. Geometric Fairness-Aware Routing for Federated Edge Networks

    May 31, 2026Ratun RahmanHeterogeneous Edge DevicesHyperbolic Space

  13. HASA: Subnet Allocation for Compute-Constrained Model-Heterogeneous Federated Learning

    May 30, 2026Amir Hossein Shahdadian, Ahmed M. Abdelmoniem, Mahdi Taheri +2Heterogeneous Federated LearningFederated Learning

  14. Memristor-Based Spiking Neural Network Accelerator for Bio-inspired Interception Task

    May 29, 2026Qianhou Qu, Sheng Lu, Liuting Shang +4Neuromorphic HardwareAccelerator

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

    May 27, 2026Mattia Consani, Denisa-Andreea Constantinescu, Åse Håtveit +4Heterogeneous Edge DevicesBees

  16. HEAL: Resilient and Self-* Hub-based Learning

    May 26, 2026Mohamed Amine Legheraba, Stefan Galkiewicz, Maria Gradinariu Potop-Butucaru +1Federated LearningDecentralization

  17. 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

  18. On the Push-Based Asynchronous Federated Learning: A Bias-Correction Aggregation Approach

    May 24, 2026Jiahui Bai, Hai Dong, A. K. QinHeterogeneous Federated LearningAsynchronous Execution

  19. Hardware-Aware Federated Learning for Speech Emotion Recognition

    May 23, 2026Beyazit Bestami Yuksel, Emrah DikbiyikFederated LearningHeterogeneous Edge Devices

  20. ChainLearn: A Blockchain-Based Capacity-Aware Framework for Federated Ensemble Learning

    May 23, 2026Karan Sharma, Aditya Tripathi, Rahul Mishra +1Federated LearningEnsemble

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

    May 22, 2026Tianhao Gao, Kai Yang, Yiyang LiRetrieval-Augmented Generation SystemsHievi-Rag

  22. Federated Learning over Human-Body Communication for On-Body Edge Intelligence: A Survey, Taxonomy, and BODYFED-HBC Scheduling Vignette

    May 22, 2026Koffka KhanFederated LearningHeterogeneous Edge Devices

  23. Optimized Federated Knowledge Distillation with Distributed Neural Architecture Search

    May 20, 2026Chaimaa Medjadji, Sylvain Kubler, Yves Le Traon +3Federated LearningKnowledge Distillation

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

    May 20, 2026Penglin Dai, Zijie Zhou, Xincao Xu +3Neural Architecture SearchHeterogeneous Edge Devices

  25. E-ReCON: An Energy- and Resource-Efficient Precision-Configurable Sparse nvCIM Macro for Conventional and Spiking Neural Edge Inference

    May 20, 2026Ankit Kumar Tenwar, Mukul Lokhande, Santosh Kumar VishvakarmaHeterogeneous Edge DevicesBinary Spikes

  26. AMAR: Lightweight Attention-Based Multi-User Activity Recognition from Wi-Fi CSI

    May 20, 2026Amirhossein Mohammadi, Hina TabassumHuman Activity RecognitionChannel State Information

  27. 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

  28. OmniISR: A Unified Framework for Centralized and Federated Learning via Intermediate Supervision and Regularization

    May 19, 2026Wei-Bin Kou, Guangxu Zhu, Ming Tang +4Federated LearningHeterogeneous Edge Devices

  29. Heterogeneous Tasks Offloading in Vehicular Edge Computing: A Federated Meta Deep Reinforcement Learning Approach

    May 18, 2026Yaorong Huang, Jingtao Luo, Xuechao WangHeterogeneous Edge DevicesFederated Reinforcement Learning

  30. PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence

    May 18, 2026Zile Wang, Qianli Liu, Kaibin Guo +4Heterogeneous Edge DevicesPersonalized Large Language Model Agents

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

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

  32. TSFLora: Token-Compressed Split Fine-Tuning for Wireless Edge Networks

    May 17, 2026Xianke Qiang, Zheng Chang, Li Wang +1Heterogeneous Edge DevicesParameter-Efficient Fine-Tuning

  33. Centralized vs Decentralized Federated Learning: A trade-off performance analysis

    May 15, 2026Chaimaa Medjadji, Guilain Leduc, Sylvain Kubler +1Federated LearningHeterogeneous Edge Devices

  34. Perforated Neural Networks for Keyword Spotting

    May 15, 2026Vishy Gopal, Aris Ilias Goutis, Ralph Crewe +2Heterogeneous Edge DevicesEdge

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

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

  36. Analog RF Computing: A New Paradigm for Energy-Efficient Edge AI Over MU-MIMO Systems

    May 14, 2026Wentao Yu, Vincent W. S. WongHeterogeneous Edge DevicesIn-Memory Computing

  37. CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference

    May 12, 2026Nan Xue, Shengkang Chen, Zhiyong Chen +4Large Language Model RoutingHeterogeneous Edge Devices

  38. Fed-BAC: Federated Bandit-Guided Additive Clustering in Hierarchical Federated Learning

    May 12, 2026Satwat Bashir, Tasos Dagiuklas, Muddesar IqbalHeterogeneous Federated LearningFederated Learning

  39. 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

  40. Optimizing Server Placement for Vertical Federated Learning in Dynamic Edge/Fog Networks

    May 10, 2026Su Wang, Mung Chiang, H. Vincent PoorFederated LearningHeterogeneous Edge Devices

  41. M2^2FedAQI: Multimodal Federated Learning for Air Quality Prediction on Heterogeneous Edge Devices

    May 10, 2026Manjil Nepal, Kimsie Phan, Tamoghna Ojha +2Heterogeneous Edge DevicesFederated Learning

  42. A Reconfigurable Multiplier Architecture for Error-Resilient Applications in RISC-V Core

    May 9, 2026Pragun Jaswal, L. Hemanth Krishna, B. SrinivasuRisc-VSparse Deep Neural Network Accelerators

  43. EdgeFlowerTune: Evaluating Federated LLM Fine-Tuning Under Realistic Edge System Constraints

    May 9, 2026Jiaxiang Geng, Yiyi Lu, Lunyu Zhao +3Heterogeneous Edge DevicesLarge Language Model Fine-Tuning

  44. UMEDA: Unified Multi-modal Efficient Data Fusion for Privacy-Preserving Graph Federated Learning via Spectral-Gated Attention and Diffusion-Based Operator Alignment

    May 8, 2026Shih-Yu Lai, Hirozumi Yamaguchi, Shang-Tse Chen +2Federated LearningHeterogeneous Edge Devices

  45. HARMONY: Bridging the Personalization-Generalization Gap by Mitigating Representation Skew in Heterogeneous Split Federated Learning

    May 8, 2026Jiseok Youn, You Rim Choi, Goodsol Lee +3Heterogeneous Federated LearningFederated Learning

  46. XiYOLO: Energy-Aware Object Detection via Iterative Architecture Search and Scaling

    May 7, 2026Tony Tran, Richie R. Suganda, Bin HuYolo26Heterogeneous Edge Devices

  47. Edge Deep Learning in Computer Vision and Medical Diagnostics: A Comprehensive Survey

    May 7, 2026Yiwen Xu, Tariq M. Khan, Yang Song +1Heterogeneous Edge DevicesEdge Computing

  48. ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device

    May 5, 2026Mergen Nachin, Digant Desai, Sicheng Stephen Jia +36PytorchHeterogeneous Edge Devices

  49. EdgeLPR: On the Deep Neural Network trade-off between Precision and Performance in LiDAR Place Recognition

    May 4, 2026Pierpaolo Serio, Hetian Wang, Zixiang Wei +4Visual Place RecognitionHeterogeneous Edge Devices

  50. Privacy-Preserving Federated Learning: Integrating Zero-Knowledge Proofs in Scalable Distributed Architectures

    May 4, 2026Divya GuptaFederated LearningHeterogeneous Edge Devices

  51. AgriKD: Cross-Architecture Knowledge Distillation for Efficient Leaf Disease Classification

    May 2, 2026Minh-Dung Le, Minh-Duc Hoang, Hoang-Vu Truong +1Tomato DiseasesApple Tree Leaf Disease Segmentation Dataset

  52. Tempus: A Temporally Scalable Resource-Invariant GEMM Streaming Framework for Versal AI Edge

    May 1, 2026M. Grailoo, J. Núñez-YáñezHeterogeneous Edge DevicesMatrix Multiplication

  53. Hierarchical Federated Learning for Networked AI: From Communication Saving to Architecture-Aware Design

    May 1, 2026Seyed Mohammad Azimi-Abarghouyi, Mehdi Bennis, Leandros TassiulasFederated LearningHeterogeneous Edge Devices

  54. A Comparative Analysis of Machine Learning Models for Intrusion Detection in Intelligent Transport Systems

    Apr 30, 2026Zawad Yalmie Sazid, Robert Abbas, Sasa MaricHeterogeneous Edge DevicesEdge Computing

  55. EdgeFM: Efficient Edge Inference for Vision-Language Models

    Apr 30, 2026Mengling Deng, Yuanpeng Chen, Sheng Yang +12Heterogeneous Edge DevicesLLM Inference Efficiency

  56. Edge AI for Automotive Vulnerable Road User Safety: Deployable Detection via Knowledge Distillation

    Apr 29, 2026Akshay Karjol, Darrin M. HannaYolov8-Nano ModelHeterogeneous Edge Devices

  57. EdgeSpike: Spiking Neural Networks for Low-Power Autonomous Sensing in Edge IoT Architectures

    Apr 29, 2026Gustav Olaf Yunus Laitinen-Fredriksson Lundstrom-Imanov, Taner YilmazSpiking Neural NetworksNeuromorphic Hardware

  58. QAROO: AI-Driven Online Task Offloading for Energy-Efficient and Sustainable MEC Networks

    Apr 28, 2026Yongtao Yao, Yao Yang, Haorui Shi +3Heterogeneous Edge DevicesEdge Computing

  59. GradMAP: Gradient-Based Multi-Agent Proximal Learning for Grid-Edge Flexibility

    Apr 27, 2026Yihong Zhou, Hongtai Zeng, Thomas MorstynSmart GridsPower Systems

  60. Deployment-Aligned Low-Precision Neural Architecture Search for Spaceborne Edge AI

    Apr 27, 2026Parampuneet Kaur Thind, Vaibhav Katturu, Giacomo Zema +1Neural Architecture SearchSparse Deep Neural Network Accelerators