A federated learning and blockchain framework for physiological signal classification based on continual learning-Reference-Cited by-同舟云学术

A federated learning and blockchain framework for physiological signal classification based on continual learning

Published:2023-06 Issue: Volume:630 Page:586-598
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Sun Le^ORCID,Wu Jin,Xu Yang,Zhang Yanchun

Funder

Peng Cheng Laboratory

Nanjing University of Information Science and Technology

Priority Academic Program Development of Jiangsu Higher Education Institutions

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference46 articles.

1. Beatclass: a sustainable ecg classification system in iot-based ehealth;Sun;IEEE Int. Things J.,2021

2. Assurance of energy efficiency and data security for ecg transmission in basins;Ma;IEEE Trans. Biomed. Eng.,2012

3. Identification and authentication in healthcare Internet-of-things using integrated fog computing based blockchain model;Shukla;Int. Things,2021

4. A quantum blockchain-enabled framework for secure private electronic medical records in Internet of medical things;Qu;Inf. Sci.,2022

5. A clinical deep learning framework for continually learning from cardiac signals across diseases, time, modalities, and institutions;Kiyasseh;Nat. Commun.,2021

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Decentralized IoT data sharing: A blockchain-based federated learning approach with joint optimizations for efficiency and privacy;Future Generation Computer Systems;2024-11

2. Federated Continual Learning via Knowledge Fusion: A Survey;IEEE Transactions on Knowledge and Data Engineering;2024-08

3. A comprehensive health assessment approach using ensemble deep learning model for remote patient monitoring with IoT;Scientific Reports;2024-07-08

4. Biometric identity recognition based on contrastive positive-unlabeled learning;Journal of Information Security and Applications;2024-06

5. Reputation-Based Federated Learning Defense to Mitigate Threats in EEG Signal Classification;2024 16th International Conference on Computer and Automation Engineering (ICCAE);2024-03-14