On the public citation graph
Collaborative Privacy-preserving Approaches for Distributed Deep Learning Using Multi-Institutional Data
0 signed · 73 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/jama.2020.12067openalex-snapshot
Geographic Distribution of US Cohorts Used to Train Deep Learning Algorithms
inferredcites →https://doi.org/10.1001/jamadermatol.2021.3129openalex-snapshot
Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms
inferredcites →https://doi.org/10.1007/978-3-030-60548-3_18openalex-snapshot
Federated Learning for Breast Density Classification: A Real-World Implementation
inferredcites →https://doi.org/10.1007/978-3-030-60548-3_20openalex-snapshot
Fed-BioMed: A General Open-Source Frontend Framework for Federated Learning in Healthcare
inferredcites →https://doi.org/10.1016/j.jacr.2020.05.015openalex-snapshot
Multi-Institutional Assessment and Crowdsourcing Evaluation of Deep Learning for Automated Classification of Breast Density
inferredcites →https://doi.org/10.1016/j.oret.2022.02.015openalex-snapshot
Federated Learning for Multicenter Collaboration in Ophthalmology
inferredcites →https://doi.org/10.1038/s41467-020-17478-wopenalex-snapshot
Causality matters in medical imaging
inferredcites →https://doi.org/10.1038/s41586-021-03583-3openalex-snapshot
Swarm Learning for decentralized and confidential clinical machine learning
inferredcites →https://doi.org/10.1038/s41591-021-01506-3openalex-snapshot
Federated learning for predicting clinical outcomes in patients with COVID-19
inferredcites →https://doi.org/10.1038/s41598-020-69250-1openalex-snapshot
Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
inferredcites →https://doi.org/10.1038/s41746-020-00323-1openalex-snapshot
The future of digital health with federated learning
inferredcites →https://doi.org/10.1056/nejmoa1102873openalex-snapshot
Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
inferredcites →https://doi.org/10.1073/pnas.1611835114openalex-snapshot
Overcoming catastrophic forgetting in neural networks
inferredcites →https://doi.org/10.1093/jamia/ocaa341openalex-snapshot
Federated learning improves site performance in multicenter deep learning without data sharing
inferredcites →https://doi.org/10.1093/jamia/ocy017openalex-snapshot
Distributed deep learning networks among institutions for medical imaging
inferredcites →https://doi.org/10.1109/bigdata50022.2020.9378043openalex-snapshot
FairFL: A Fair Federated Learning Approach to Reducing Demographic Bias in Privacy-Sensitive Classification Models
inferredcites →https://doi.org/10.1109/jbhi.2022.3204455openalex-snapshot
E2EGI: End-to-End Gradient Inversion in Federated Learning
inferredcites →https://doi.org/10.1109/sp.2019.00029openalex-snapshot
Exploiting Unintended Feature Leakage in Collaborative Learning
inferredcites →https://doi.org/10.1109/tmi.2014.2377694openalex-snapshot
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
inferredcites →https://doi.org/10.1109/tnnls.2019.2944481openalex-snapshot
Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data
inferredcites →https://doi.org/10.1111/j.1524-4741.2012.01250.xopenalex-snapshot
Reproducibility of BI-RADS Breast Density Measures Among Community Radiologists: A Prospective Cohort Study
inferredcites →https://doi.org/10.1145/3375627.3375840openalex-snapshot
A Fairness-aware Incentive Scheme for Federated Learning
inferredcites →https://doi.org/10.1148/radiol.2020192536openalex-snapshot
Ethics of Using and Sharing Clinical Imaging Data for Artificial Intelligence: A Proposed Framework
inferredcites →https://doi.org/10.1148/rg.2017170077openalex-snapshot
Deep Learning: A Primer for Radiologists
inferredcites →https://doi.org/10.1148/ryai.2019190053openalex-snapshot
Improving Automated Pediatric Bone Age Estimation Using Ensembles of Models from the 2017 RSNA Machine Learning Challenge
inferredcites →https://doi.org/10.1212/wnl.0b013e3181cb3e25openalex-snapshot
Alzheimer's Disease Neuroimaging Initiative (ADNI)
inferredcites →https://doi.org/10.1371/journal.pmed.1002683openalex-snapshot
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
inferredcites →https://doi.org/10.3233/978-1-61499-852-5-76openalex-snapshot
Enabling Analytics on Sensitive Medical Data with Secure Multi-Party Computation
inferredcites →https://doi.org/10.3348/kjr.2019.0025openalex-snapshot
Design Characteristics of Studies Reporting the Performance of Artificial Intelligence Algorithms for Diagnostic Analysis of Medical Images: Results from Recently Published Papers
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/aisy.202400874openalex-snapshot
Classification of Pulmonary Nodules Using Multimodal Feature‐Driven Graph Convolutional Networks with Specificity Proficiency
inferred← citeshttps://doi.org/10.1002/spy2.460openalex-snapshot
Homomorphic Encryption and Collaborative Machine Learning for Secure Healthcare Analytics
inferred← citeshttps://doi.org/10.1007/978-3-031-94386-7_11openalex-snapshot
Utilization of Feature Fusion in Diagnostic Applications
inferred← citeshttps://doi.org/10.1007/978-3-032-27154-9_14openalex-snapshot
Enhancing Diabetic Retinopathy Detection at Early Stages Through Deep Learning and Explainable Artificial Intelligence
inferred← citeshttps://doi.org/10.1007/s00247-026-06551-zopenalex-snapshot
Data mining in pediatric radiology in the era of artificial intelligence
inferred← citeshttps://doi.org/10.1007/s00330-026-12926-5openalex-snapshot
Radiology research platform: automating multicenter radiological research workflows using a cloud-native platform
inferred← citeshttps://doi.org/10.1016/b978-0-44-323761-4.00034-1openalex-snapshot
Collaborative learning
inferred← citeshttps://doi.org/10.1016/j.adhoc.2023.103385openalex-snapshot
A pipeline approach for privacy preservation against poisoning attacks in a Mobile Edge Computing environment
inferred← citeshttps://doi.org/10.1016/j.bspc.2025.108032openalex-snapshot
Distributed data-privacy preserving federated learning method for sleep stage classification
inferred← citeshttps://doi.org/10.1016/j.ejrai.2025.100028openalex-snapshot
Boosting multi-demographic federated learning for chest radiograph analysis using general-purpose self-supervised representations
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108192openalex-snapshot
A comprehensive review and experimental comparison of deep learning methods for automated hemorrhage detection
inferred← citeshttps://doi.org/10.1016/j.inhs.2026.100089openalex-snapshot
Deep learning in automated bone age estimation: A comprehensive review of models, clinical applications, and future directions
inferred← citeshttps://doi.org/10.1016/j.jag.2026.105452openalex-snapshot
Federated learning in forest resource modelling and monitoring: Bridging data confidentiality and collaborative research
inferred← citeshttps://doi.org/10.1016/j.nbd.2023.106310openalex-snapshot
Deep learning combining FDG-PET and neurocognitive data accurately predicts MCI conversion to Alzheimer's dementia 3-year post MCI diagnosis
inferred← citeshttps://doi.org/10.1016/j.ymeth.2025.04.016openalex-snapshot
Challenges, optimization strategies, and future horizons of advanced deep learning approaches for brain lesion segmentation
inferred← citeshttps://doi.org/10.1097/js9.0000000000005082openalex-snapshot
An interpretable whole-stream video based deep learning framework for surgical skill assessment of basic procedural elements
inferred← citeshttps://doi.org/10.1101/2024.05.27.596048openalex-snapshot
A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications
inferred← citeshttps://doi.org/10.1109/access.2025.3530297openalex-snapshot
From Technical Prerequisites to Improved Care: Distributed Edge AI for Tomographic Imaging
inferred← citeshttps://doi.org/10.1109/access.2026.3660305openalex-snapshot
A Federated Learning and Explainable AI Framework for Privacy-Preserving Brain Tumor Diagnosis Using Multi-Institutional MRI Data
inferred← citeshttps://doi.org/10.1109/iswta68114.2025.11329972openalex-snapshot
A Federated Learning Framework for Alzheimer's Diagnosis: Evaluating Aggregation Approaches
inferred← citeshttps://doi.org/10.1109/mce.2025.3539474openalex-snapshot
Future of the Medical World: Collaborative Medical Imaging AI With Federated Learning
inferred← citeshttps://doi.org/10.1109/qpain69676.2026.11545856openalex-snapshot
A Federated Learning Framework for Privacy-Preserving Predictive Analytics in Distributed Healthcare Systems
inferred← citeshttps://doi.org/10.1109/qpain69676.2026.11546138openalex-snapshot
Transformer-Based Natural Language Processing for Automated Bug Report Classification in Software Repositories
inferred← citeshttps://doi.org/10.1117/1.jmi.10.6.061104openalex-snapshot
Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment
inferred← citeshttps://doi.org/10.1142/s021964922550073xopenalex-snapshot
ICAIMT_Real-Time Federated Learning for Autonomous Defense Robots: Enhancing Distributed Threat Detection and Response
inferred← citeshttps://doi.org/10.1148/radiol.241516openalex-snapshot
Best Practices for the Safe Use of Large Language Models and Other Generative AI in Radiology
inferred← citeshttps://doi.org/10.1148/ryai.230136openalex-snapshot
The Role of Federated Learning Models in Medical Imaging
inferred← citeshttps://doi.org/10.1186/s12964-025-02434-2openalex-snapshot
Integrating AI and RNA biomarkers in cancer: advances in diagnostics and targeted therapies
inferred← citeshttps://doi.org/10.1186/s13058-023-01687-4openalex-snapshot
Deep learning applications to breast cancer detection by magnetic resonance imaging: a literature review
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4644605/v1openalex-snapshot
Feasibility of training federated deep learning oropharyngeal primary tumor segmentation models without sharing gradient information
inferred← citeshttps://doi.org/10.22399/ijcesen.5119openalex-snapshot
Federated Learning Framework for Privacy-Preserving Voice Analytics in Smart TV Ecosystems
inferred← citeshttps://doi.org/10.3389/fonc.2026.1786176openalex-snapshot
Research on machine learning-based clinical prediction models: a bibliometric analysis
inferred← citeshttps://doi.org/10.3389/fpubh.2026.1859276openalex-snapshot
Localized AI for stroke care in LMICs: a framework to overcome structural and diagnostic barriers
inferred← citeshttps://doi.org/10.3390/electronics14234778openalex-snapshot
Communication-Efficient Federated Optimization with Gradient Clipping and Attention Aggregation for Data Analytics and Prediction
inferred← citeshttps://doi.org/10.3390/ph19091326openalex-snapshot
Neurofilament Light Chain (NfL) in Neurodegenerative Diseases: Biological and Clinical Significance, Multi-Omics Integration, and AI-Driven Biomarker Modeling for Precision Therapy
inferred← citeshttps://doi.org/10.3390/s25020531openalex-snapshot
A Comprehensive Survey of Deep Learning Approaches in Image Processing
inferred← citeshttps://doi.org/10.3390/s26123901openalex-snapshot
Privacy-Preserving Federated Deep Learning for Robust Anomaly Detection in Distributed Security Sensing Systems
inferred← citeshttps://doi.org/10.4018/979-8-3693-1874-4.ch018openalex-snapshot
Secure and Privacy-Preserving Federated Learning With Explainable Artificial Intelligence for Smart Healthcare Systems
inferred← citeshttps://doi.org/10.4236/jis.2023.144020openalex-snapshot
An Extensive Study and Review of Privacy Preservation Models for the Multi-Institutional Data
inferred← citeshttps://doi.org/10.4329/wjr.v17.i11.114754openalex-snapshot
Large language models and large concept models in radiology: Present challenges, future directions, and critical perspectives
inferred← citeshttps://doi.org/10.51583/ijltemas.2025.1408000052openalex-snapshot
Multi-Institution AI Security in Federated Drug Design Systems.
inferred← citeshttps://doi.org/10.55524/ijircst.2026.14.1.19openalex-snapshot
Machine Learning for Secure Cardiovascular Risk Assessment in Distributed Healthcare Environments
inferred← citeshttps://doi.org/10.5772/intechopen.1015391openalex-snapshot
AI-Driven Ultrasound: Automation, Image Interpretation and Decision Support
inferred← citeshttps://doi.org/10.7717/peerj-cs.1947openalex-snapshot
A systematic review on diabetic retinopathy detection and classification based on deep learning techniques using fundus images
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.