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] Exploring the potential of federated learning in mental health research: a systematic literature review
The rapid advancement of technology has created new opportunities to improve the
accuracy and efficiency of medical diagnoses, treatments, and overall patient care in several …
accuracy and efficiency of medical diagnoses, treatments, and overall patient care in several …
Blockchain and Machine Learning in EHR Security: A Systematic Review
Background: The rapid development of modern technologies renders a convenient and
efficient solution to implement Electronic Health Records (EHRs) systems. The rapid growth …
efficient solution to implement Electronic Health Records (EHRs) systems. The rapid growth …
Multi-scale temporal convolutional networks and continual learning based in silico discovery of alternative antibiotics to combat multi-drug resistance
The high incidence of diseases caused by multi-drug resistant (MDR) pathogens combined
with the shortage of effective antibiotics has necessitated the development of in-silico …
with the shortage of effective antibiotics has necessitated the development of in-silico …
FedEL: Federated ensemble learning for non-iid data
Federated learning (FL) is a joint training pattern that fully utilizes data information whereas
protecting data privacy. A key challenge in FL is statistical heterogeneity, which arises on …
protecting data privacy. A key challenge in FL is statistical heterogeneity, which arises on …
EHR privacy preservation using federated learning with DQRE-Scnet for healthcare application domains
A distributed learning technique named Federated Learning (FL) is utilized by mobile
devices, clinical research labs, and hospitals for secure healthcare data sharing. FL has …
devices, clinical research labs, and hospitals for secure healthcare data sharing. FL has …
Collaborative Worker Safety Prediction Mechanism Using Federated Learning Assisted Edge Intelligence in Outdoor Construction Environment
SJS Moe, BW Kim, AN Khan, X Rongxu, NA Tuan… - IEEE …, 2023 - ieeexplore.ieee.org
Monitoring construction site safety through physical observations is inherently flawed due to
the complex and dynamic nature of construction sites. To overcome these challenges and …
the complex and dynamic nature of construction sites. To overcome these challenges and …
[HTML][HTML] Role of federated learning in healthcare systems: A survey
N Rana, H Marwaha - Mathematical Foundations of Computing, 2023 - aimsciences.org
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Depression clinical detection model based on social media: a federated deep learning approach
Y Liu - The Journal of Supercomputing, 2024 - Springer
Depression can significantly impact people's mental health, and recent research shows that
social media can provide decision-making support for health-care professionals and serve …
social media can provide decision-making support for health-care professionals and serve …
[HTML][HTML] Survey of Medical Applications of Federated Learning
G Choi, WC Cha, SU Lee… - Healthcare Informatics …, 2024 - synapse.koreamed.org
Objectives Medical artificial intelligence (AI) has recently attracted considerable attention.
However, training medical AI models is challenging due to privacy-protection regulations …
However, training medical AI models is challenging due to privacy-protection regulations …