DEEP-FEL: Decentralized, Efficient and Privacy-Enhanced Federated Edge Learning for Healthcare Cyber Physical Systems
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
DEEP-FEL: Decentralized, Efficient and Privacy-Enhanced Federated Edge Learning for Healthcare Cyber Physical Systems
Authors
Keywords
-
Journal
IEEE Transactions on Network Science and Engineering
Volume 9, Issue 5, Pages 3558-3569
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2022-05-21
DOI
10.1109/tnse.2022.3175945
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Secure blockchain enabled Cyber–physical systems in healthcare using deep belief network with ResNet model
- (2021) Gia Nhu Nguyen et al. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
- Smart City Healthcare Cyber Physical System: Characteristics, Technologies and Challenges
- (2021) Rupali Verma WIRELESS PERSONAL COMMUNICATIONS
- Medical imaging deep learning with differential privacy
- (2021) Alexander Ziller et al. Scientific Reports
- AI-empowered, blockchain and SDN integrated security architecture for IoT network of cyber physical systems
- (2021) Sohaib A. Latif et al. COMPUTER COMMUNICATIONS
- Blockchain-Assisted Secure Fine-Grained Searchable Encryption for a Cloud-Based Healthcare Cyber-Physical System
- (2021) Mamta et al. IEEE-CAA Journal of Automatica Sinica
- FDC: A Secure Federated Deep Learning Mechanism for Data Collaborations in the Internet of Things
- (2020) Bo Yin et al. IEEE Internet of Things Journal
- IHSF: An Intelligent Solution for Improved Performance of Reliable and Time-Sensitive Flows in Hybrid SDN-Based FC IoT Systems
- (2020) Muhammad Ibrar et al. IEEE Internet of Things Journal
- Cloud-Edge Orchestration for the Internet of Things: Architecture and AI-Powered Data Processing
- (2020) Yulei Wu IEEE Internet of Things Journal
- Adaptive Federated Learning in Resource Constrained Edge Computing Systems
- (2019) Shiqiang Wang et al. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
- In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning
- (2019) Xiaofei Wang et al. IEEE NETWORK
- Differentially Private Asynchronous Federated Learning for Mobile Edge Computing in Urban Informatics
- (2019) Yunlong Lu et al. IEEE Transactions on Industrial Informatics
- Voice Pathology Detection Using Deep Learning on Mobile Healthcare Framework
- (2018) Musaed Alhussein et al. IEEE Access
- A hardware friendly unsupervised memristive neural network with weight sharing mechanism
- (2018) Zhiri Tang et al. NEUROCOMPUTING
- Mobile healthcare applications: system design review, critical issues and challenges
- (2014) Mirza Mansoor Baig et al. AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE
- A Hybrid Genetic Algorithm for the Bottleneck Traveling Salesman Problem
- (2013) Zakir Hussain Ahmed ACM Transactions on Embedded Computing Systems
- The asymmetric bottleneck traveling salesman problem: Algorithms, complexity and empirical analysis
- (2013) John LaRusic et al. COMPUTERS & OPERATIONS RESEARCH
- 3D Convolutional Neural Networks for Human Action Recognition
- (2012) Shuiwang Ji et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now