FEEL: FEderated LEarning Framework for ELderly Healthcare Using Edge-IoMT

Author:

Ghosh Shreya1ORCID,Ghosh Soumya K.2ORCID

Affiliation:

1. College of Information Sciences and Technology, Pennsylvania State University, State College, PA, USA

2. Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India

Funder

Research Grant from Department of Science and Technology, Government of India, under Geospatial Chair Professor Award

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Cited by 18 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. Meta-Fed IDS: Meta-learning and Federated learning based fog-cloud approach to detect known and zero-day cyber attacks in IoMT networks;Journal of Parallel and Distributed Computing;2024-10

2. Privacy-Enhancing Technologies in Biomedical Data Science;Annual Review of Biomedical Data Science;2024-08-23

3. Real-Time Prediction Using Fog-Based Federated Learning and Genetic Hyperparameter Optimisation;IEEE Transactions on Network Science and Engineering;2024-07

4. Edge-Intelligence based Federated Learning in the Internet of Medical Things;2024 9th International Conference on Smart and Sustainable Technologies (SpliTech);2024-06-25

5. An IoMT Framework Integrating 5G and Wireless Body Area Networks for Home Healthcare;Proceedings of the 2024 3rd International Conference on Networks, Communications and Information Technology;2024-06-07

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