AIMC Topic: Federated Learning

Clear Filters Showing 31 to 40 of 60 articles

Multi-Modal Federated Learning for Cancer Staging Over Non-IID Datasets With Unbalanced Modalities.

IEEE transactions on medical imaging Jan 2, 2025
The use of machine learning (ML) for cancer staging through medical image analysis has gained substantial interest across medical disciplines. When accompanied by the innovative federated learning (FL) framework, ML techniques can further overcome pr...
Databases, Factual Neoplasms Neoplasm Staging Humans Machine Learning Image Interpretation, Computer-Assisted Federated Learning
View on PubMed DOI

Generalizable Reconstruction for Accelerating MR Imaging via Federated Learning With Neural Architecture Search.

IEEE transactions on medical imaging Jan 2, 2025
Heterogeneous data captured by different scanning devices and imaging protocols can affect the generalization performance of the deep learning magnetic resonance (MR) reconstruction model. While a centralized training model is effective in mitigating...
Brain Deep Learning Magnetic Resonance Imaging Federated Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
View on PubMed DOI

DFedGFM: Pursuing global consistency for Decentralized Federated Learning via global flatness and global momentum.

Neural networks : the official journal of the International Neural Network Society Dec 30, 2024
To tackle high communication costs and privacy issues in Centralized Federated Learning (CFL), Decentralized Federated Learning (DFL) is an alternative. However, a significant discrepancy exists between local updates and the expected global update, k...
Humans Algorithms Federated Learning Neural Networks, Computer Machine Learning
View on PubMed DOI

FedMEKT: Distillation-based embedding knowledge transfer for multimodal federated learning.

Neural networks : the official journal of the International Neural Network Society Dec 9, 2024
Federated learning (FL) enables a decentralized machine learning paradigm for multiple clients to collaboratively train a generalized global model without sharing their private data. Most existing works have focused on designing FL systems for unimod...
Neural Networks, Computer Machine Learning Humans Federated Learning
View on PubMed DOI

Federated learning for enhanced dose-volume parameter prediction with decentralized data.

Medical physics Dec 6, 2024
BACKGROUND: The widespread adoption of knowledge-based planning in radiation oncology clinics is hindered by the lack of data and the difficulty associated with sharing medical data.
Radiotherapy Dosage Federated Learning Radiotherapy Planning, Computer-Assisted Humans Radiation Dosage Machine Learning Male Prostatic Neoplasms
View on PubMed DOI

Personalized federated learning for abdominal multi-organ segmentation based on frequency domain aggregation.

Journal of applied clinical medical physics Dec 5, 2024
PURPOSE: The training of deep learning (DL) models in medical images requires large amounts of sensitive patient data. However, acquiring adequately labeled datasets is challenging because of the heavy workload of manual annotations and the stringent...
Abdomen Magnetic Resonance Imaging Federated Learning Deep Learning Image Processing, Computer-Assisted Algorithms Tomography, X-Ray Computed Humans
View on PubMed DOI

Privacy-preserving federated data access and federated learning: Improved data sharing and AI model development in transfusion medicine.

Transfusion Nov 29, 2024
BACKGROUND: Health data comprise data from different aspects of healthcare including administrative, digital health, and research-oriented data. Together, health data contribute to and inform healthcare operations, patient care, and research. Integra...
Information Dissemination Artificial Intelligence Transfusion Medicine Humans Federated Learning Blood Transfusion Precision Medicine Privacy
View on PubMed DOI

Federated Learning for Predicting Postoperative Remission of Patients with Acromegaly: A Multicentered Study.

World neurosurgery Nov 20, 2024
BACKGROUND: Decentralized federated learning (DFL) may serve as a useful framework for machine learning (ML) tasks in multicentered studies, maximizing the use of clinical data without data sharing. We aim to propose the first workflow of DFL for ML ...
Support Vector Machine Remission Induction Federated Learning Acromegaly Middle Aged Deep Learning Adult Machine Learning Male Humans Neural Networks, Computer Female Aged
View on PubMed DOI

Privacy-Preserving Technology Using Federated Learning and Blockchain in Protecting against Adversarial Attacks for Retinal Imaging.

Ophthalmology Oct 16, 2024
PURPOSE: Collaboration provides valuable data for robust artificial intelligence (AI) model development. Federated learning (FL) is a privacy-enhancing technology that allows collaboration while respecting privacy via the development of models withou...
Retrospective Studies Tomography, Optical Coherence Retina Humans Computer Security Artificial Intelligence Privacy Blockchain Macular Degeneration Federated Learning
View on PubMed DOI

Federated Learning in Glaucoma: A Comprehensive Review and Future Perspectives.

Ophthalmology. Glaucoma Aug 29, 2024
CLINICAL RELEVANCE: Glaucoma is a complex eye condition with varied morphological and clinical presentations, making diagnosis and management challenging. The lack of a consensus definition for glaucoma or glaucomatous optic neuropathy further compli...
Deep Learning Federated Learning Humans Artificial Intelligence Glaucoma Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals