FedSDM: Federated learning based smart decision making module for ECG data in IoT integrated Edge–Fog–Cloud computing environments
Authors:
- Shinu M. RajagopalSRShinu M. Rajagopal
- Supriya M.SMSupriya M.
- Rajkumar BuyyaRBRajkumar Buyya
Top Cited Papers
Open Access
- 14 April 2023
- journal article
- review article
- Published by Elsevier in Internet of Things
- Vol. 22
Abstract
No abstract availableKeywords
This publication has 41 references indexed in Scilit:
- MsM: A microservice middleware for smart WSN-based IoT applicationJournal of Network and Computer Applications, 2019
- Attack and anomaly detection in IoT sensors in IoT sites using machine learning approachesInternet of Things, 2019
- Remote Management of Heart Failure: An Overview of Telemonitoring TechnologiesCardiac Failure Review, 2019
- A Smart Decision System for Digital FarmingAgronomy, 2019
- A Comprehensive Review on Smart Decision Support Systems for Health CareIEEE Systems Journal, 2019
- Fog Computing Architecture, Evaluation, and Future Research DirectionsIEEE Communications Magazine, 2018
- A survey on security issues in services communication of Microservices‐enabled fog applicationsConcurrency and Computation: Practice and Experience, 2018
- iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environmentsSoftware: Practice and Experience, 2017
- Machine Learning Techniques Applied to Data Analysis and Anomaly Detection in ECG SignalsApplied Artificial Intelligence, 2016
- Cognitive decision making in smart industryComputers in Industry, 2015