The Amalgamation of Federated Learning and Explainable Artificial Intelligence for the Internet of Medical Things: A Review

被引：0
|
作者：
Govardanan, Chemmalar Selvi [1 ]
Murugan, Ramalingam [1 ]
Yenduri, Gokul [1 ]
Gurrammagari, Deepti Raj [1 ]
Bhulakshmi, Dasari [1 ]
Kandati, Dasaradharami Reddy [1 ]
Supriya, Yarradoddi [1 ]
Gadekallu, Thippa Reddy [1 ,4 ,5 ,6 ,7 ]
Rathore, Rajkumar Singh [2 ]
Jhaveri, Rutvij [3 ]
机构：
[1] School of Information Technology and Engineering, Vellore Institute of Technology, Tamil Nadu, Vellore,632014, India
[2] Department of Computer Science, Cardiff School of Technologies, Cardiff Metropolitan University, Llandaff Campus, Western Avenue, Cardiff,CF5 2YB, United Kingdom
[3] Department of Computer Science and Engineering, School of Technology, Pandit Deendayal Energy University, Gujarat, Gandhinagar,382007, India
[4] Lovely Professional University, Phagwara, India
[5] College of Information Science and Engineering, Jiaxing University, 314001, China
[6] Department of Electrical and Computer Engineering, Lebanese American University, Byblos, Lebanon
[7] Zhongda Group, Zhejiang Province, HaiyanCounty, Jiaxing City,314312, China
来源：
Recent Advances in Computer Science and Communications | 2024年 / 17卷 / 04期
关键词：
Device system - Health care professionals - Healthcare - Healthcare systems - Internet of medical - Machine-learning - Medical Devices - Medical sensor systems - Paradigm shifts - Prediction modelling;
D O I：
10.2174/0126662558266152231128060222
中图分类号：
学科分类号：
摘要：
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