Experiments of Federated Learning for COVID-19 Chest X-ray Images

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Measure Contribution of Participants in Federated Learning

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Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems

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Human Activity Recognition Using Federated Learning

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Learning Private Neural Language Modeling with Attentive Aggregation

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Learning Private Neural Language Modeling with Attentive Aggregation

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Federated Imitation Learning: A Novel Framework for Cloud Robotic Systems With Heterogeneous Sensor Data

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An Improved Method for the Fitting and Prediction of the Number of COVID-19 Confirmed Cases Based on LSTM

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Medical image retrieval using Resnet-18 for clinical diagnosis

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COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining

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Spatial Image Steganalysis Based on ResNeXt

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COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word MiningPreprint

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Federated Learning for Internet of Things: A Comprehensive Survey

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Homomorphic Encryption-Based Privacy-Preserving Federated Learning in IoT-Enabled Healthcare System

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Federated Learning in Edge Computing: A Systematic Survey

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Federated Deep Learning for Cyber Security in the Internet of Things: Concepts, Applications, and Experimental Analysis

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Dynamic-Fusion-Based Federated Learning for COVID-19 Detection

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Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions

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A Review on Machine Learning Styles in Computer Vision—Techniques and Future Directions

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COVID-19 open source data sets: a comprehensive survey

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Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey

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Federated learning for secure IoMT-applications in smart healthcare systems: A comprehensive review

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Applications of artificial intelligence in battling against covid-19: A literature review

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Sustainability of Healthcare Data Analysis IoT-Based Systems Using Deep Federated Learning

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Federated Machine Learning for Detection of Skin Diseases and Enhancement of Internet of Medical Things (IoMT) Security

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Handling privacy-sensitive medical data with federated learning: Challenges and future directions

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Challenges and future directions of secure federated learning: a survey

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Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges

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A systematic review on federated learning in medical image analysis

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Toward Trustworthy AI: Blockchain-Based Architecture Design for Accountability and Fairness of Federated Learning Systems

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A comprehensive review on federated learning based models for healthcare applications

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Artificial intelligence in clinical care amidst COVID-19 pandemic: A systematic review

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Integrated CNN and Federated Learning for COVID-19 Detection on Chest X-Ray Images

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A multifaceted survey on privacy preservation of federated learning: progress, challenges, and opportunities

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Federated Learning for the Internet-of-Medical-Things: A Survey

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A Comprehensive Survey of COVID-19 Detection Using Medical Images

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On the role of artificial intelligence in medical imaging of COVID-19

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Deep Federated Learning for IoT-based Decentralized Healthcare Systems

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COVID-CT-Mask-Net: prediction of COVID-19 from CT scans using regional features

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A comprehensive review of federated learning for COVID‐19 detection

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Multimodal Melanoma Detection with Federated Learning

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A Federated Learning System for Histopathology Image Analysis With an Orchestral Stain-Normalization GAN

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Investigating the impact of data heterogeneity on the performance of federated learning algorithm using medical imaging

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Federated learning based Covid‐19 detection

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A lightweight federated learning based privacy preserving B5G pandemic response network using unmanned aerial vehicles: A proof-of-concept

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FedSGDCOVID: Federated SGD COVID-19 Detection under Local Differential Privacy Using Chest X-ray Images and Symptom Information

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Secure Federated Learning Model Verification: A Client-side Backdoor Triggered Watermarking Scheme

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Blockchain for medical collaboration: A federated learning-based approach for multi-class respiratory disease classification

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Federated Learning in Computer Vision

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A survey on deep learning models for detection of COVID-19

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FedEYE: A scalable and flexible end-to-end federated learning platform for ophthalmology

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A Federated Learning based Approach for Heart Disease Prediction

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Detection of COVID ‐19 from chest X‐ray images: Boosting the performance with convolutional neural network and transfer learning

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Federated learning for Healthcare 5.0: a comprehensive survey, taxonomy, challenges, and solutions

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Advancing Pandemic Preparedness in Healthcare 5.0: A Survey of Federated Learning Applications

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Predicting treatment response in multicenter non-small cell lung cancer patients based on federated learning

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Decentralised Federated Learning for Hospital Networks With Application to COVID-19 Detection

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Deep Learning and Federated Learning for Screening COVID-19: A Review

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Convolutional neural network (CNN) and federated learning-based privacy preserving approach for skin disease classification

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Weight-space noise for privacy-robustness trade-offs in federated learning

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Advancing Federated Learning: A Systematic Literature Review of Methods, Challenges, and Applications

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AAFL: Asynchronous-Adaptive Federated Learning in Edge-Based Wireless Communication Systems for Countering Communicable Infectious Diseasess

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Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation

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Centralized and Federated Learning for COVID-19 Detection With Chest X-Ray Images: Implementations and Analysis

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Advancing Edge Computing with Federated Deep Learning: Strategies and Challenges

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Visual Classification and Detection of Power Inspection Images Based on Federated Learning

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A multi-center distributed learning approach for Parkinson's disease classification using the traveling model paradigm

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Object detection of UAV power line inspection images based on federated learning

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FedBully: A Cross-Device Federated Approach for Privacy Enabled Cyber Bullying Detection using Sentence Encoders

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Distributed Learning in Healthcare

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Blockchain and deep learning-based approach towards privacy preserving healthcare solutions

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Conditional cascaded network (CCN) approach for diagnosis of COVID-19 in chest X-ray and CT images using transfer learning

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A survey of machine learning techniques for detecting and diagnosing COVID‐19 from imaging

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Security methods for AI based COVID-19 analysis system : A survey

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Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease

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A Two-Stage Federated Transfer Learning Framework in Medical Images Classification on Limited Data: A COVID-19 Case Study

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Vertical federated learning based on data subset representation for healthcare application

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Healthcare federated learning: a survey of applications and frameworks

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Neural network-based strategies for automatically diagnosing of COVID-19 from X-ray images utilizing different feature extraction algorithms

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Privacy-preserving federated learning in healthcare: Fundamentals, state of the art and prospective research directions

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Detection of the patient with COVID-19 relying on ML technology and FAST algorithms to extract the features

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Enhancing Skin Disease Classification and Privacy Preservation through Federated Learning-Based Deep Learning

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Towards good practice for convolution and attention with PANs in federated medical image classification

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The Data Heterogeneity Issue Regarding COVID-19 Lung Imaging in Federated Learning: An Experimental Study

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A Review of Recent Deep Learning Models in COVID-19 Diagnosis

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Systematic investigation into generalization of COVID-19 CT deep learning models with Gabor ensemble for lung involvement scoringPreprint

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Energy-Aware Privacy-Preserving IoMT Framework for Consumer Electronics: A Federated Learning Approach to Remote Healthcare

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Scalable federated learning for emergency care using low cost microcomputing: Real-world, privacy preserving development and evaluation of a COVID-19 screening test in UK hospitalsPreprint

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A New Classification Method for Diagnosing COVID-19 Pneumonia via Joint Parallel Deformable MLP Modules and Bi-LSTM With Multi-Source Generated Data of CXR Images

Liu, Y., Xing, W., Lin, M., Liu, Y., & Chow, T. W. S. (2024) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2024.3367489 · Cited by 5 · see citing works

Federated Transfer Learning for Lung Disease Detection

Sumariya, S., Rami, S., Revadekar, S., & Bhadane, C. (2025) · International Journal of Imaging Systems and Technology · doi:10.1002/ima.70080 · Cited by 5 · see citing works

Recent Trends of Federated Learning for Smart Healthcare Systems

Handa, T., Singhal, I., Chakraborty, P., & Kaur, G. (2023) · Advances in healthcare information systems and administration book series · doi:10.4018/979-8-3693-1082-3.ch005 · Cited by 5 · see citing works

FedISM: Enhancing Data Imbalance via Shared Model in Federated Learning

Chung, W., Lin, Y., & Fang, S.-H. (2023) · Mathematics · doi:10.3390/math11102385 · Cited by 5 · see citing works

A Survey on Deep Learning Advances and Emerging Issues in Pneumonia and COVID19 Prediction

Makhanov, N., Tu, N. A., & Wong, K. (2022) · IEEE International Conference on Big Data and Smart Computing (BigComp) · doi:10.1109/bigcomp54360.2022.00029 · Cited by 5 · see citing works

SecureFed: Federated learning empowered medical imaging technique to detect COVID-19 using chest x-raysPreprint

Makkar, A., & Santosh, K. (2022) · Research Square · doi:10.21203/rs.3.rs-1943509/v1 · Cited by 5 · see citing works

A Novel Optimized Asynchronous Federated Learning Framework

Zhou, Z., Chen, H., Li, K., Hu, F., Yan, B., Cheng, J., Wei, X., Liu, B., Li, X., Chen, F., et al. (2021) · IEEE International Conference on High Performance Computing and Communications; IEEE International Conference on Smart City; IEEE International Conference on Data Science and Systems (HPCC/SmartCity/DSS) · doi:10.1109/hpcc-dss-smartcity-dependsys53884.2021.00357 · Cited by 4 · see citing works

Model Poisoning Attack Against Federated Learning with Adaptive Aggregation

Nabavirazavi, S., Taheri, R., Ghahremani, M., & Iyengar, S. S. (2023) · Advances in information security · doi:10.1007/978-3-031-49803-9_1 · Cited by 4 · see citing works

A Federated Learning Mechanism for Preserving Security of Sensitive Data

Sharma, S., & Guleria, K. (2023) · International Conference on Data Analytics for Business and Industry (ICDABI) · doi:10.1109/icdabi60145.2023.10629264 · Cited by 4 · see citing works

BAFL: Federated Learning with Base Ablation for Cost Effective Communication

Kundalwal, M. K., Saraswat, A., Mishra, I., & Mishra, D. (2022) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr56361.2022.9956684 · Cited by 3 · see citing works

Paradigm Shift Towards Federated Learning for COVID-19 Detection: A Survey

Krithika, L. B. (2023) · Iraqi Journal of Science · doi:10.24996/ijs.2023.64.7.37 · Cited by 3 · see citing works

Detection of Covid‐19 disease by using privacy‐aware artificial intelligence system

İSMETOĞLU, A., & Canbay, Y. (2024) · Security and Privacy · doi:10.1002/spy2.434 · Cited by 3 · see citing works

Empowering Pandemic Response with Federated Learning for Protein Sequence Data Analysis

Chourasia, P., Tayebi, Z., Ali, S., & Patterson, M. (2023) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn54540.2023.10191721 · Cited by 3 · see citing works

Towards Enhanced Cyberbullying Detection: A Unified Framework with Transfer and Federated Learning

Kumari, C., & Kaur, M. (2025) · Systems · doi:10.3390/systems13090818 · Cited by 2 · see citing works

Densefedcnn: a federated learning-based framework with client-specific hyperparameter tuning for multi-class brain MRI classification

Firdaus, N., & Raza, Z. (2026) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-025-02875-8 · Cited by 2 · see citing works

Secure Federated Learning

Jin, Y., Zhu, H., Xu, J., & Chen, Y. (2022) · Machine learning · doi:10.1007/978-981-19-7083-2_4 · Cited by 2 · see citing works

PedFed: A performance evaluation-driven federated learning framework for efficient communication

Niu, K., Tai, W., Peng, X., Guo, Z., Zhang, C., & Li, H. (2024) · Advances in Complex Systems · doi:10.1142/s1793962324400014 · Cited by 2 · see citing works

Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis

Souza, R., Stanley, E. A. M., Winder, A. J., Kang, C., Amador, K., Ohara, E. Y., Dagasso, G., Camicioli, R. M., Monchi, O., Ismail, Z., et al. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01499-0 · Cited by 2 · see citing works

A Complete Survey on Automatically Diagnosing COVID-19 In the field of Computer Vision and A Collection of Medical ImagesPreprint

Panday, A. (2020) · doi:10.31224/osf.io/z9bfv · Cited by 2 · see citing works

Federated Autonomous Deep Learning for Distributed Healthcare System

Pujahari, R. M., Khan, R., & Yadav, S. P. (2025) · Wiley eBooks · doi:10.1002/9781394271382.ch2 · Cited by 2 · see citing works

A Federated Learning Approach to Bone Metastasis Prediction Using Convolutional Neural Network

Ali, S. M., Eunus, S. I., Bushra, T. A., Mehedi, M. H. K., & Rasel, A. A. (2023) · International Conference on Computer and Information Technology (ICCIT) · doi:10.1109/iccit60459.2023.10441154 · Cited by 1 · see citing works

AFL-CS: Asynchronous Federated Learning with Cosine Similarity-based Penalty Term and Aggregation

Yan, B., Jiang, X., Chen, Y., Gao, C., & Liu, X. (2023) · IEEE International Conference on Parallel and Distributed Systems (ICPADS) · doi:10.1109/icpads60453.2023.00016 · Cited by 1 · see citing works

Federated learning for COVID-19 screening from Chest X-ray images

Feki, I., Ammar, S., Kessentini, Y., & Muhammad, K. (2021) · Applied Soft Computing · doi:10.1016/j.asoc.2021.107330 · Cited by 278 · see citing works

Enhanced COVID-19 Detection and Privacy Preserving Using Federated Learning

Pravallika, P., Gnanasri, V., Gireesh, M., Reddy, A. A., Kalpana, V., & Chowdary, J. S. (2023) · International Conference on Inventive Research in Computing Applications (ICIRCA) · doi:10.1109/icirca57980.2023.10220772 · Cited by 4 · see citing works

Application of Federated Learning in Building a Robust COVID-19 Chest X-ray Classification ModelPreprint

Bhattacharya, A., Gawali, M., Seth, J., & Kulkarni, V. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2204.10505 · Cited by 4 · see citing works

Federated Learning for Detecting COVID-19 in Chest CT Images: A Lightweight Federated Learning Approach

Lai, W., & Yan, Q. (2022) · IEEE International Conference on Frontiers Technology of Information and Computer (ICFTIC) · doi:10.1109/icftic57696.2022.10075165 · Cited by 15 · see citing works

Federated Learning for Classification of COVID-19 Severity based on Chest X-Rays

Beaubien, M. (2023) · Deep Blue (University of Michigan) · doi:10.7302/7698