A Novel Framework for Quantum-Enhanced Federated Learning with Edge Computing for Advanced Pain Assessment Using ECG Signals via Continuous Wavelet Transform Images

Our research introduces a framework that integrates edge computing, quantum transfer learning, and federated learning to revolutionize pain level assessment through ECG signal analysis. The primary focus lies in developing a robust, privacy-preserving system that accurately classifies pain levels (l...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Madankumar Balasubramani, Monisha Srinivasan, Wei-Horng Jean, Shou-Zen Fan, Jiann-Shing Shieh
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-02-01
Serie:	Sensors
Soggetti:	quantum convolutional hybrid neural network (QCHNN) federated learning edge computing pain assessment quantum transfer learning
Accesso online:	https://www.mdpi.com/1424-8220/25/5/1436
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!