AIMC Topic: Federated Learning

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Dual prompt personalized federated learning in foundation models.

Scientific reports Jul 31, 2025
Personalized federated learning (PFL) has garnered significant attention for its ability to address heterogeneous client data distributions while preserving data privacy. However, when local client data is limited, deep learning models often suffer f...
Deep Learning Models, Theoretical Federated Learning Humans Machine Learning
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Blockchain framework with IoT device using federated learning for sustainable healthcare systems.

Scientific reports Jul 23, 2025
The Internet of Medical Things (IoMT) sector has advanced rapidly in recent years, and security and privacy are essential considerations in the IoMT due to the extensive scope and implementation of IoMT networks. Machine learning (ML) and blockchain ...
Computer Security Blockchain Machine Learning Federated Learning Delivery of Health Care Confidentiality Humans Internet of Things
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Federated Learning-Based Model for Predicting Mortality: Systematic Review and Meta-Analysis.

Journal of medical Internet research Jul 21, 2025
BACKGROUND: The rise of federated learning (FL) as a novel privacy-preserving technology offers the potential to create models collaboratively in a decentralized manner to address confidentiality issues, particularly regarding data privacy. However, ...
Mortality Federated Learning Humans Machine Learning
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Collaborative assessment of the risk of postoperative progression in early-stage non-small cell lung cancer: a robust federated learning model.

Cancer imaging : the official publication of the International Cancer Imaging Society Jul 18, 2025
BACKGROUND: While the TNM staging system provides valuable insights into the extent of disease, predicting postoperative progression in early-stage non-small cell lung cancer (NSCLC) remains a significant challenge. An effective bioimaging prognostic...
Aged Male Retrospective Studies Female Disease Progression Lung Neoplasms Carcinoma, Non-Small-Cell Lung Middle Aged Risk Assessment Humans Prognosis Neoplasm Staging Federated Learning
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Fusion of Personalized Federated Learning (PFL) with Differential Privacy (DP) Learning for Diagnosis of Arrhythmia Disease.

PloS one Jul 11, 2025
This paper presents a novel privacy-preserving architecture, a fusion of Federated Learning with Personalized Models and Differential Privacy (FLPMDP), for diagnosing arrhythmia from 12-lead electrocardiogram (ECG) signals. The architecture supports ...
Privacy Arrhythmias, Cardiac Algorithms Federated Learning Electrocardiography Humans Machine Learning
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Nuclei segmentation and classification from histopathology images using federated learning for end-edge platform.

PloS one Jul 10, 2025
Accurate nuclei segmentation and classification in histology images are critical for cancer detection but remain challenging due to color inconsistency, blurry boundaries, and overlapping nuclei. Manual segmentation is time-consuming and labor-intens...
Neoplasms Deep Learning Cell Nucleus Federated Learning Humans Image Processing, Computer-Assisted Algorithms
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Enhanced detection of Mpox using federated learning with hybrid ResNet-ViT and adaptive attention mechanisms.

Scientific reports Jul 9, 2025
Monkeypox (Mpox), caused by the monkeypox virus, has become a global concern due to its rising cases and resemblance to other rash-causing diseases like chickenpox and measles. Traditional diagnostic methods, including visual examination and PCR test...
Deep Learning Mpox, Monkeypox Humans Monkeypox virus Federated Learning
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Fused federated learning framework for secure and decentralized patient monitoring in healthcare 5.0 using IoMT.

Scientific reports Jul 7, 2025
Federated Learning (FL) enables artificial intelligence frameworks to train on private information without compromising privacy, which is especially useful in the medical and healthcare industries where the knowledge or data at hand is never enough. ...
Computer Security Federated Learning Delivery of Health Care Monitoring, Physiologic Humans Artificial Intelligence Machine Learning
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False-positive tolerant model misconduct mitigation in distributed federated learning on electronic health record data across clinical institutions.

Scientific reports Jul 2, 2025
As collaborative Machine Learning on cross-institutional, fully distributed networks become an important tool in predictive health modeling, its inherent security risks must be addressed. One among such risks is the lack of a mitigation strategy agai...
ROC Curve False Positive Reactions Algorithms Federated Learning Computer Security Electronic Health Records Humans Machine Learning
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A federated learning-based privacy-preserving image processing framework for brain tumor detection from CT scans.

Scientific reports Jul 2, 2025
The detection of brain tumors is crucial in medical imaging, because accurate and early diagnosis can have a positive effect on patients. Because traditional deep learning models store all their data together, they raise questions about privacy, comp...
Tomography, X-Ray Computed Brain Neoplasms Neural Networks, Computer Humans Algorithms Deep Learning Federated Learning Image Processing, Computer-Assisted Privacy
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