Saved in:
| Main Authors: | De Luca, Chiara, Donati, Elisa |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.14061 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
STAG-CN: Spatio-Temporal Apiary Graph Convolutional Network for Disease Onset Prediction in Beehive Sensor Networks
by: Kang, Sungwoo
Published: (2026)
by: Kang, Sungwoo
Published: (2026)
An Algorithm for On-Sensor Agnostic Detection of Changes in Human Activity for Ultra-Low-Power Applications
by: Rimoldi, Sara, et al.
Published: (2026)
by: Rimoldi, Sara, et al.
Published: (2026)
Rapid Deployment of DNNs for Edge Computing via Structured Pruning at Initialization
by: Eccles, Bailey J., et al.
Published: (2024)
by: Eccles, Bailey J., et al.
Published: (2024)
MEADOW: Memory-efficient Dataflow and Data Packing for Low Power Edge LLMs
by: Moitra, Abhishek, et al.
Published: (2025)
by: Moitra, Abhishek, et al.
Published: (2025)
DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems
by: Zhao, Mengjie, et al.
Published: (2023)
by: Zhao, Mengjie, et al.
Published: (2023)
Multi-View Conformal Learning for Heterogeneous Sensor Fusion
by: Garcia-Ceja, Enrique
Published: (2024)
by: Garcia-Ceja, Enrique
Published: (2024)
GraphEdge: Dynamic Graph Partition and Task Scheduling for GNNs Computing in Edge Network
by: Xiao, Wenjing, et al.
Published: (2025)
by: Xiao, Wenjing, et al.
Published: (2025)
tuGEMM: Area-Power-Efficient Temporal Unary GEMM Architecture for Low-Precision Edge AI
by: Nair, Harideep, et al.
Published: (2024)
by: Nair, Harideep, et al.
Published: (2024)
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices
by: Jia, Yongzhe, et al.
Published: (2024)
by: Jia, Yongzhe, et al.
Published: (2024)
M$^2$AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding
by: Alnegheimish, Sarah, et al.
Published: (2025)
by: Alnegheimish, Sarah, et al.
Published: (2025)
QuantFL: Sustainable Federated Learning for Edge IoT via Pre-Trained Model Quantisation
by: Herath, Charuka, et al.
Published: (2026)
by: Herath, Charuka, et al.
Published: (2026)
Detecting Neurovascular Instability from Multimodal Physiological Signals Using Wearable-Compatible Edge AI: A Responsible Computational Framework
by: Hoa, Truong Quynh, et al.
Published: (2026)
by: Hoa, Truong Quynh, et al.
Published: (2026)
Multimodal Fusion on Low-quality Data: A Comprehensive Survey
by: Zhang, Qingyang, et al.
Published: (2024)
by: Zhang, Qingyang, et al.
Published: (2024)
Rep Smarter, Not Harder: AI Hypertrophy Coaching with Wearable Sensors and Edge Neural Networks
by: King, Grant, et al.
Published: (2025)
by: King, Grant, et al.
Published: (2025)
Graph Federated Learning Based Proactive Content Caching in Edge Computing
by: Wang, Rui
Published: (2025)
by: Wang, Rui
Published: (2025)
eMamba: Efficient Acceleration Framework for Mamba Models in Edge Computing
by: Kim, Jiyong, et al.
Published: (2025)
by: Kim, Jiyong, et al.
Published: (2025)
Multi-task Domain Adaptation for Computation Offloading in Edge-intelligence Networks
by: Han, Runxin, et al.
Published: (2025)
by: Han, Runxin, et al.
Published: (2025)
CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation
by: Liu, Ziyue, et al.
Published: (2025)
by: Liu, Ziyue, et al.
Published: (2025)
DeepFusion: Accelerating MoE Training via Federated Knowledge Distillation from Heterogeneous Edge Devices
by: Li, Songyuan, et al.
Published: (2026)
by: Li, Songyuan, et al.
Published: (2026)
UniQL: Unified Quantization and Low-rank Compression for Adaptive Edge LLMs
by: Chiang, Hung-Yueh, et al.
Published: (2025)
by: Chiang, Hung-Yueh, et al.
Published: (2025)
GB-RVFL: Fusion of Randomized Neural Network and Granular Ball Computing
by: Sajid, M., et al.
Published: (2024)
by: Sajid, M., et al.
Published: (2024)
Model Fusion via Neuron Transplantation
by: Öz, Muhammed, et al.
Published: (2025)
by: Öz, Muhammed, et al.
Published: (2025)
A Novel Hyperdimensional Computing Framework for Online Time Series Forecasting on the Edge
by: Mejri, Mohamed, et al.
Published: (2024)
by: Mejri, Mohamed, et al.
Published: (2024)
LLM-Powered Text-Attributed Graph Anomaly Detection via Retrieval-Augmented Reasoning
by: Xu, Haoyan, et al.
Published: (2025)
by: Xu, Haoyan, et al.
Published: (2025)
Balanced Edge Pruning for Graph Anomaly Detection with Noisy Labels
by: Wang, Zhu, et al.
Published: (2024)
by: Wang, Zhu, et al.
Published: (2024)
TRAM: Training Approximate Multiplier Structures for Low-Power AI Accelerators
by: Meng, Chang, et al.
Published: (2026)
by: Meng, Chang, et al.
Published: (2026)
EdgeFusion: On-Device Text-to-Image Generation
by: Castells, Thibault, et al.
Published: (2024)
by: Castells, Thibault, et al.
Published: (2024)
Lightweight Edge Learning via Dataset Pruning
by: Ale, Laha, et al.
Published: (2026)
by: Ale, Laha, et al.
Published: (2026)
Private Collaborative Edge Inference via Over-the-Air Computation
by: Yilmaz, Selim F., et al.
Published: (2024)
by: Yilmaz, Selim F., et al.
Published: (2024)
Actionable Real-Time Modeling of Surgical Team Dynamics via Time-Expanded Interaction Graphs
by: De Luca, Vincenzo Marco, et al.
Published: (2026)
by: De Luca, Vincenzo Marco, et al.
Published: (2026)
Streamlining Multimodal Data Fusion in Wireless Communication and Sensor Networks
by: Bocus, Mohammud J., et al.
Published: (2023)
by: Bocus, Mohammud J., et al.
Published: (2023)
The Sequential Edge: Inverse-Entropy Voting Beats Parallel Self-Consistency at Matched Compute
by: Sharma, Aman, et al.
Published: (2025)
by: Sharma, Aman, et al.
Published: (2025)
Graph Neural Network with One-side Edge Sampling for Fraud Detection
by: Trieu, Hoang Hiep
Published: (2026)
by: Trieu, Hoang Hiep
Published: (2026)
Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook
by: Zou, Xingchen, et al.
Published: (2024)
by: Zou, Xingchen, et al.
Published: (2024)
Semi-supervised Anomaly Detection via Adaptive Reinforcement Learning-Enabled Method with Causal Inference for Sensor Signals
by: Chen, Xiangwei, et al.
Published: (2024)
by: Chen, Xiangwei, et al.
Published: (2024)
Optimizing the Deployment of Tiny Transformers on Low-Power MCUs
by: Jung, Victor J. B., et al.
Published: (2024)
by: Jung, Victor J. B., et al.
Published: (2024)
Integrated Sensing-Communication-Computation for Edge Artificial Intelligence
by: Wen, Dingzhu, et al.
Published: (2023)
by: Wen, Dingzhu, et al.
Published: (2023)
SENSOR: Imitate Third-Person Expert's Behaviors via Active Sensoring
by: Huang, Kaichen, et al.
Published: (2024)
by: Huang, Kaichen, et al.
Published: (2024)
VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge
by: Mascolini, Alessio, et al.
Published: (2024)
by: Mascolini, Alessio, et al.
Published: (2024)
R-MTLLMF: Resilient Multi-Task Large Language Model Fusion at the Wireless Edge
by: Djuhera, Aladin, et al.
Published: (2024)
by: Djuhera, Aladin, et al.
Published: (2024)
Similar Items
-
STAG-CN: Spatio-Temporal Apiary Graph Convolutional Network for Disease Onset Prediction in Beehive Sensor Networks
by: Kang, Sungwoo
Published: (2026) -
An Algorithm for On-Sensor Agnostic Detection of Changes in Human Activity for Ultra-Low-Power Applications
by: Rimoldi, Sara, et al.
Published: (2026) -
Rapid Deployment of DNNs for Edge Computing via Structured Pruning at Initialization
by: Eccles, Bailey J., et al.
Published: (2024) -
MEADOW: Memory-efficient Dataflow and Data Packing for Low Power Edge LLMs
by: Moitra, Abhishek, et al.
Published: (2025) -
DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems
by: Zhao, Mengjie, et al.
Published: (2023)