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Federated Learning

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A Novel Framework for Quantum-Enhanced Federated Learning with Edge Computing for Advanced Pain Assessment Using ECG Signals via Continuous Wavelet Transform Images.

Sensors (Basel, Switzerland) 40096220
Our research introduces a framework that integrates edge computing, quantum transfer learning, and federated learning to revolutionize pain level assessment through ECG signal analysis. The primary focus lies in developing a robust, privacy-preservin...
Algorithms Electrocardiography Federated Learning Humans Machine Learning Neural Networks, Computer Pain Pain Measurement Signal Processing, Computer-Assisted Wavelet Analysis
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Revolutionizing biological digital twins: Integrating internet of bio-nano things, convolutional neural networks, and federated learning.

Computers in biology and medicine 40101583
Digital twins (DTs) are advancing biotechnology by providing digital models for drug discovery, digital health applications, and biological assets, including microorganisms. However, the hypothesis posits that implementing micro- and nanoscale DTs, e...
Algorithms Bacteria Convolutional Neural Networks Deep Learning Federated Learning Humans Internet of Things Neural Networks, Computer
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Self-attention fusion and adaptive continual updating for multimodal federated learning with heterogeneous data.

Neural networks : the official journal of the International Neural Network Society 40090301
Federated learning (FL) enables collaborative model training without direct data sharing, facilitating knowledge exchange while ensuring data privacy. Multimodal federated learning (MFL) is particularly advantageous for decentralized multimodal data,...
Algorithms Attention Federated Learning Humans Machine Learning Neural Networks, Computer
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FedELR: When federated learning meets learning with noisy labels.

Neural networks : the official journal of the International Neural Network Society 40081270
Existing research on federated learning (FL) usually assumes that training labels are of high quality for each client, which is impractical in many real-world scenarios (e.g., noisy labels by crowd-sourced annotations), leading to dramatic performanc...
Algorithms Federated Learning Machine Learning Neural Networks, Computer
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Diabetes: Non-Invasive Blood Glucose Monitoring Using Federated Learning with Biosensor Signals.

Biosensors 40277568
Diabetes is a growing global health concern, affecting millions and leading to severe complications if not properly managed. The primary challenge in diabetes management is maintaining blood glucose levels (BGLs) within a safe range to prevent compli...
Biosensing Techniques Blood Glucose Blood Glucose Self-Monitoring Diabetes Mellitus Federated Learning Humans Machine Learning Neural Networks, Computer Photoplethysmography
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Federated Learning for Healthcare: Class Imbalance Mitigation and Feature Drift Detection.

Studies in health technology and informatics 40270427
Federated learning (FL) has the potential to revolutionize healthcare by enabling collaborative data analysis while keeping data decentralized. Monitoring data quality is crucial for successful FL in healthcare, as undetected issues can compromise mo...
Data Accuracy Federated Learning Humans Machine Learning
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Federated learning with differential privacy for breast cancer diagnosis enabling secure data sharing and model integrity.

Scientific reports 40240790
In the digital age, privacy preservation is of paramount importance while processing health-related sensitive information. This paper explores the integration of Federated Learning (FL) and Differential Privacy (DP) for breast cancer detection, lever...
Breast Neoplasms Computer Security Confidentiality Federated Learning Female Humans Information Dissemination Machine Learning Privacy
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Privacy-preserving federated learning for collaborative medical data mining in multi-institutional settings.

Scientific reports 40217112
Ensuring data privacy in medical image classification is a critical challenge in healthcare, especially with the increasing reliance on AI-driven diagnostics. In fact, over 30% of healthcare organizations globally have experienced a data breach in th...
Confidentiality Data Mining Federated Learning Humans Magnetic Resonance Imaging Privacy
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Federated learning with integrated attention multiscale model for brain tumor segmentation.

Scientific reports 40195402
Brain tumors are an extremely deadly condition and the growth of abnormal cells that have formed inside the brain causes the illness. According to studies, Magnetic Resonance Imaging (MRI) is a fundamental imaging method that is frequently used in me...
Algorithms Brain Neoplasms Federated Learning Humans Image Processing, Computer-Assisted Machine Learning Magnetic Resonance Imaging
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Robust two stages federated learning for sensor based human activity recognition with label noise.

Scientific reports 40383725
Federated learning is widely used for collaborative training of human activity recognition models across multiple devices with limited local data. However, label noise caused by human and time constraints during data annotation is common and severely...
Algorithms Federated Learning Human Activities Humans Machine Learning
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