A comprehensive survey on federated learning techniques for healthcare informatics
K Dasaradharami Reddy… - Computational …, 2023 - Wiley Online Library
Healthcare is predominantly regarded as a crucial consideration in promoting the general
physical and mental health and well‐being of people around the world. The amount of data …
physical and mental health and well‐being of people around the world. The amount of data …
[HTML][HTML] Federated machine learning in healthcare: A systematic review on clinical applications and technical architecture
Federated learning (FL) is a distributed machine learning framework that is gaining traction
in view of increasing health data privacy protection needs. By conducting a systematic …
in view of increasing health data privacy protection needs. By conducting a systematic …
Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues
Abstract Federated Learning (FL), Artificial Intelligence (AI), and Explainable Artificial
Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare …
Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare …
Review on security of federated learning and its application in healthcare
Artificial intelligence (AI) has led to a high rate of development in healthcare, and good
progress has been made on many complex medical problems. However, there is a lack of …
progress has been made on many complex medical problems. However, there is a lack of …
[HTML][HTML] FL-FD: Federated learning-based fall detection with multimodal data fusion
Multimodal data fusion is a critical element of fall detection systems, as it provides more
comprehensive information than single-modal data. Yet, data heterogeneity between …
comprehensive information than single-modal data. Yet, data heterogeneity between …
Leveraging IoT-aware technologies and AI techniques for real-time critical healthcare applications
AT Shumba, T Montanaro, I Sergi, L Fachechi… - Sensors, 2022 - mdpi.com
Personalised healthcare has seen significant improvements due to the introduction of health
monitoring technologies that allow wearable devices to unintrusively monitor physiological …
monitoring technologies that allow wearable devices to unintrusively monitor physiological …
A survey on COVID-19 impact in the healthcare domain: worldwide market implementation, applications, security and privacy issues, challenges and future prospects
Extensive research has been conducted on healthcare technology and service
advancements during the last decade. The Internet of Medical Things (IoMT) has …
advancements during the last decade. The Internet of Medical Things (IoMT) has …
Detecting Electrocardiogram Arrhythmia Empowered With Weighted Federated Learning
In this study, a weighted federated learning approach is proposed for electrocardiogram
(ECG) arrhythmia classification. The proposed approach considers the heterogeneity of data …
(ECG) arrhythmia classification. The proposed approach considers the heterogeneity of data …
A sequential machine learning-cum-attention mechanism for effective segmentation of brain tumor
Magnetic resonance imaging is the most generally utilized imaging methodology that
permits radiologists to look inside the cerebrum using radio waves and magnets for tumor …
permits radiologists to look inside the cerebrum using radio waves and magnets for tumor …
Genetic clustered federated learning for COVID-19 detection
DR Kandati, TR Gadekallu - Electronics, 2022 - mdpi.com
Coronavirus (COVID-19) has caused a global disaster with adverse effects on global health
and the economy. Early detection of COVID-19 symptoms will help to reduce the severity of …
and the economy. Early detection of COVID-19 symptoms will help to reduce the severity of …