Image de couverture de livre

Self-Supervised Learning at the Edge: The Cost of Labeling

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Pereira, Roberto, Famá, Fernanda, Rangrazi, Asal, Miozzo, Marco, Kalalas, Charalampos, Dini, Paolo
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Signal Processing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Contrastive Self-Supervised Learning at the Edge: An Energy Perspective
par: Famá, Fernanda, et autres
Publié: (2025)

Energy-Efficient Federated Learning for AIoT using Clustering Methods
par: Pereira, Roberto, et autres
Publié: (2025)

Measuring Data Similarity for Efficient Federated Learning: A Feasibility Study
par: Famá, Fernanda, et autres
Publié: (2024)

Task-Oriented Low-Label Semantic Communication With Self-Supervised Learning
par: Gu, Run, et autres
Publié: (2025)

SelfEEG: A Python library for Self-Supervised Learning in Electroencephalography
par: Del Pup, Federico, et autres
Publié: (2023)

Self-Supervised Learning for Covariance Estimation
par: Diskin, Tzvi, et autres
Publié: (2024)

SpellerSSL: Self-Supervised Learning with P300 Aggregation for Speller BCIs
par: Hong, Jiazhen, et autres
Publié: (2025)

SSC-UNet: UNet with Self-Supervised Contrastive Learning for Phonocardiography Noise Reduction
par: Abraham, Lizy, et autres
Publié: (2026)

Leveraging Self-Supervised Learning Methods for Remote Screening of Subjects with Paroxysmal Atrial Fibrillation
par: Atienza, Adrian, et autres
Publié: (2025)

NERULA: A Dual-Pathway Self-Supervised Learning Framework for Electrocardiogram Signal Analysis
par: Manimaran, Gouthamaan, et autres
Publié: (2024)

Aortic Valve Disease Detection from PPG via Physiology-Informed Self-Supervised Learning
par: Wang, Jiaze, et autres
Publié: (2026)

A Novel Transformer-Based Self-Supervised Learning Method to Enhance Photoplethysmogram Signal Artifact Detection
par: Le, Thanh-Dung, et autres
Publié: (2024)

Wearable-Based Real-time Freezing of Gait Detection in Parkinson's Disease Using Self-Supervised Learning
par: Soumma, Shovito Barua, et autres
Publié: (2024)

An Efficient Self-Supervised Framework for Long-Sequence EEG Modeling
par: Hong, Jiazhen, et autres
Publié: (2025)

SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task Replay
par: Yoon, Hyungjun, et autres
Publié: (2024)

Self-Supervised and Topological Signal-Quality Assessment for Any PPG Device
par: Shao, Wei, et autres
Publié: (2025)

Transformer-Based Decomposition of Electrodermal Activity for Real-World Mental Health Applications
par: Tsirmpas, Charalampos, et autres
Publié: (2025)

EnhancePPG: Improving PPG-based Heart Rate Estimation with Self-Supervision and Augmentation
par: Benfenati, Luca, et autres
Publié: (2024)

Manifold Learning for Personalized and Label-Free Detection of Cardiac Arrhythmias
par: Vazifeh, Amir Reza, et autres
Publié: (2025)

Context-Aware Doubly-Robust Semi-Supervised Learning
par: Ruah, Clement, et autres
Publié: (2025)

Self-Supervised Pre-Training with Joint-Embedding Predictive Architecture Boosts ECG Classification Performance
par: Weimann, Kuba, et autres
Publié: (2024)

A Self-Commissioning Edge Computing Method for Data-Driven Anomaly Detection in Power Electronic Systems
par: Gomez, Pere Izquierdo, et autres
Publié: (2023)

Graph Semi-Supervised Learning for Point Classification on Data Manifolds
par: Netto, Caio F. Deberaldini, et autres
Publié: (2025)

HeartBERT: A Self-Supervised ECG Embedding Model for Efficient and Effective Medical Signal Analysis
par: Tahery, Saedeh, et autres
Publié: (2024)

Supervised Transfer Learning Framework for Fault Diagnosis in Wind Turbines
par: Weber, Kenan, et autres
Publié: (2024)

Cross-Domain Continual Learning for Edge Intelligence in Wireless ISAC Networks
par: Hu, Jingzhi, et autres
Publié: (2025)

A Multi-Resolution Mutual Learning Network for Multi-Label ECG Classification
par: Huang, Wei, et autres
Publié: (2024)

Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement
par: Saeed, Aaqib, et autres
Publié: (2024)

Approaching Low-Cost Cardiac Intelligence with Semi-Supervised Knowledge Distillation
par: Zhou, Rushuang, et autres
Publié: (2025)

Topological Dictionary Learning
par: Grimaldi, Enrico, et autres
Publié: (2025)

Multi-modal Data based Semi-Supervised Learning for Vehicle Positioning
par: Huan, Ouwen, et autres
Publié: (2024)

Wireless Dataset Similarity: Measuring Distances in Supervised and Unsupervised Machine Learning
par: Morais, João, et autres
Publié: (2026)

Audio synthesizer inversion in symmetric parameter spaces with approximately equivariant flow matching
par: Hayes, Ben, et autres
Publié: (2025)

Machine Intelligence on the Edge: Interpretable Cardiac Pattern Localisation Using Reinforcement Learning
par: Tian, Haozhe, et autres
Publié: (2025)

Personalization on a Budget: Minimally-Labeled Continual Learning for Resource-Efficient Seizure Detection
par: Shahbazinia, Amirhossein, et autres
Publié: (2025)

EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition
par: Zhou, Rushuang, et autres
Publié: (2023)

Prediction of Cellular Malignancy Using Electrical Impedance Signatures and Supervised Machine Learning
par: Hossain, Shadeeb
Publié: (2026)

Pigeon-SL: Robust Split Learning Framework for Edge Intelligence under Malicious Clients
par: Park, Sangjun, et autres
Publié: (2025)

Communication-Efficient Multi-Modal Edge Inference via Uncertainty-Aware Distributed Learning
par: Zhao, Hang, et autres
Publié: (2026)

Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning
par: Nguyen, Duc Thien, et autres
Publié: (2024)