AIMC Topic: Federated Learning

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Mitigating semantic label divergence in federated learning: Obfuscated encoding and alert filtering for security monitoring.

PloS one Dec 29, 2025
Federated learning (FL) is emerging as a key approach for collaborative machine learning (ML) in distributed information systems where direct data sharing is infeasible due to policy constraints. In security operations center (SOC) settings, we study...
Humans Semantics Computer Security Federated Learning Machine Learning Algorithms
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MedShieldFL-a privacy-preserving hybrid federated learning framework for intelligent healthcare systems.

Scientific reports Dec 4, 2025
Recent advances in artificial intelligence have greatly increased the accuracy of computer-assisted diagnosis for serious conditions including brain tumours. However, concerns about data privacy, class imbalance, and the diversity of medical datasets...
Computer Security Federated Learning Artificial Intelligence Confidentiality Algorithms Privacy Humans Brain Neoplasms Delivery of Health Care Deep Learning
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A personalized federated learning-based glucose prediction algorithm for high-risk glycemic excursion regions in type 1 diabetes.

Scientific reports Nov 3, 2025
Continuous glucose monitoring (CGM) devices allow real-time glucose readings leading to improved glycemic control. However, glucose predictions in the lower (hypoglycemia) and higher (hyperglycemia) extremes, referred as glycemic excursions, remain c...
Machine Learning Algorithms Female Humans Blood Glucose Diabetes Mellitus, Type 1 Hyperglycemia Adult Male Federated Learning Prediction Algorithms Hypoglycemia Blood Glucose Self-Monitoring
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Privacy preservation in diabetic disease prediction using federated learning based on efficient cross stage recurrent model.

Scientific reports Oct 24, 2025
Diabetic retinopathy (DR) is a major problemfor the diabetes patients that makes a serious threat to vision and causes the irreversible blindness if not diagnosed and treated early. Conventional deep learning-based approaches designed for DR detectio...
Federated Learning Diabetic Retinopathy Algorithms Privacy Computer Security Humans Deep Learning
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Categorical and phenotypic image synthetic learning as an alternative to federated learning.

Nature communications Oct 23, 2025
Multi-center collaborations are crucial in developing robust and generalizable machine learning models in medical imaging. Traditional methods, such as centralized data sharing or federated learning (FL), face challenges, including privacy issues, co...
Isocitrate Dehydrogenase Federated Learning Humans Magnetic Resonance Imaging Mutation Machine Learning Imaging, Three-Dimensional Phenotype Image Processing, Computer-Assisted
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Secure and interpretable lung cancer prediction model using mapreduce private blockchain federated learning and XAI.

Scientific reports Oct 13, 2025
Lung cancer continues to be one of the most widespread and deadly cancer diagnoses that affects humans worldwide. Early detection of lung cancer leads to decreased mortality rates; however, several challenges hinder the development and deployment of ...
Artificial Intelligence Algorithms Humans Computer Security Lung Neoplasms Blockchain Early Detection of Cancer Federated Learning
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Synthetic Tabular Data Generation Under Horizontal Federated Learning Environments in Acute Myeloid Leukemia: Case-Based Simulation Study.

JMIR medical informatics Sep 29, 2025
BACKGROUND: Data scarcity and dispersion pose significant obstacles in biomedical research, particularly when addressing rare diseases. In such scenarios, synthetic data generation (SDG) has emerged as a promising path to mitigate the first issue. Co...
Leukemia, Myeloid, Acute Federated Learning Humans Machine Learning Computer Simulation
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Edge computing with federated learning for early detection of citric acid overdose and adjustment of regional citrate anticoagulation.

BMC medical informatics and decision making Aug 30, 2025
Regional citrate anticoagulation (RCA) is critical for extracorporeal anticoagulation in continuous renal replacement therapy done at the bedside. To make patients' data more secure and to help with computer-based monitoring of dosages, we suggest a ...
Drug Overdose Federated Learning Continuous Renal Replacement Therapy Humans Machine Learning Anticoagulants Algorithms Citric Acid
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A fused weighted federated learning-based adaptive approach for early-stage drug prediction.

Scientific reports Aug 28, 2025
Early accurate drug prediction is crucial in clinical decision support, where privacy of the patient data is a paramount importance. In this study, we introduce a fused weighted adaptive federated learning (FWAFL) framework to achieve joint training ...
Algorithms Federated Learning Humans Neural Networks, Computer Machine Learning
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Identifying significant features in adversarial attack detection framework using federated learning empowered medical IoT network security.

Scientific reports Aug 26, 2025
The expansion of the Internet of Medical Things (IoHT) presents significant advantages for healthcare over improved data-driven insights and connectivity and offers critical cybersecurity challenges. Attacks are a serious risk for neural network secu...
Artificial Intelligence Federated Learning Computer Security Deep Learning Internet of Things Machine Learning Humans Algorithms Neural Networks, Computer
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