Published on in Vol 22, No 10 (2020): October
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/20891, first published
.
Journals
- Mazzeo V, Rapisarda A, Giuffrida G. Detection of Fake News on COVID-19 on Web Search Engines. Frontiers in Physics 2021;9 View
- Abreha H, Hayajneh M, Serhani M. Federated Learning in Edge Computing: A Systematic Survey. Sensors 2022;22(2):450 View
- Budrionis A, Miara M, Miara P, Wilk S, Bellika J. Benchmarking PySyft Federated Learning Framework on MIMIC-III Dataset. IEEE Access 2021;9:116869 View
- Nakagawa K, Moukheiber L, Celi L, Patel M, Mahmood F, Gondim D, Hogarth M, Levenson R. AI in Pathology: What could possibly go wrong?. Seminars in Diagnostic Pathology 2023;40(2):100 View
- Ng W, Zhang S, Wang Z, Ong C, Gunasekeran D, Lim G, Zheng F, Tan S, Tan G, Rim T, Schmetterer L, Ting D. Updates in deep learning research in ophthalmology. Clinical Science 2021;135(20):2357 View
- Drainakis G, Pantazopoulos P, Katsaros K, Sourlas V, Amditis A, Kaklamani D. From centralized to Federated Learning: Exploring performance and end-to-end resource consumption. Computer Networks 2023;225:109657 View
- Yoon J, Pinsky M, Clermont G. Artificial Intelligence in Critical Care Medicine. Critical Care 2022;26(1) View
- He S, Leanse L, Feng Y. Artificial intelligence and machine learning assisted drug delivery for effective treatment of infectious diseases. Advanced Drug Delivery Reviews 2021;178:113922 View
- Zhang L, Vashisht H, Totev A, Trinh N, Ward T. A comparison of distributed machine learning methods for the support of “many labs” collaborations in computational modeling of decision making. Frontiers in Psychology 2022;13 View
- Oh W, Nadkarni G. Federated Learning in Health care Using Structured Medical Data. Advances in Kidney Disease and Health 2023;30(1):4 View
- Zhu X, Wang D, Pedrycz W, Li Z. Horizontal Federated Learning of Takagi–Sugeno Fuzzy Rule-Based Models. IEEE Transactions on Fuzzy Systems 2022;30(9):3537 View
- Chen X, Cheng G, Wang F, Tao X, Xie H, Xu L. Machine and cognitive intelligence for human health: systematic review. Brain Informatics 2022;9(1) View
- Li H, Li C, Wang J, Yang A, Ma Z, Zhang Z, Hua D. Review on security of federated learning and its application in healthcare. Future Generation Computer Systems 2023;144:271 View
- Sáinz-Pardo Díaz J, López García Á. Study of the performance and scalability of federated learning for medical imaging with intermittent clients. Neurocomputing 2023;518:142 View
- Zanotto B, Beck da Silva Etges A, dal Bosco A, Cortes E, Ruschel R, De Souza A, Andrade C, Viegas F, Canuto S, Luiz W, Ouriques Martins S, Vieira R, Polanczyk C, André Gonçalves M. Stroke Outcome Measurements From Electronic Medical Records: Cross-sectional Study on the Effectiveness of Neural and Nonneural Classifiers. JMIR Medical Informatics 2021;9(11):e29120 View
- Zheng Z, Zhou Y, Sun Y, Wang Z, Liu B, Li K. Applications of federated learning in smart cities: recent advances, taxonomy, and open challenges. Connection Science 2022;34(1):1 View
- Sun L, Wu J. A Scalable and Transferable Federated Learning System for Classifying Healthcare Sensor Data. IEEE Journal of Biomedical and Health Informatics 2023;27(2):866 View
- Ogundokun R, Misra S, Maskeliunas R, Damasevicius R. A Review on Federated Learning and Machine Learning Approaches: Categorization, Application Areas, and Blockchain Technology. Information 2022;13(5):263 View
- Yu B, Mao W, Lv Y, Zhang C, Xie Y. A survey on federated learning in data mining. WIREs Data Mining and Knowledge Discovery 2022;12(1) View
- Naresh V, Thamarai M. Privacy‐preserving data mining and machine learning in healthcare: Applications, challenges, and solutions. WIREs Data Mining and Knowledge Discovery 2023;13(2) View
- Lim J, Hong M, Lam W, Zhang Z, Teo Z, Liu Y, Ng W, Foo L, Ting D. Novel technical and privacy-preserving technology for artificial intelligence in ophthalmology. Current Opinion in Ophthalmology 2022;33(3):174 View
- Zhang J, Zhu H, Wang F, Zhao J, Xu Q, Li H, Wang Z. Security and Privacy Threats to Federated Learning: Issues, Methods, and Challenges. Security and Communication Networks 2022;2022:1 View
- Al-Huthaifi R, Li T, Huang W, Gu J, Li C. Federated learning in smart cities: Privacy and security survey. Information Sciences 2023;632:833 View
- Zhu J, Luo J, Ma Y. Screening of serum exosome markers for colorectal cancer based on Boruta and multi-cluster feature selection algorithms. Molecular & Cellular Toxicology 2024;20(2):343 View
- Bozkurt C, Aşuroğlu T. Mortality Prediction of Various Cancer Patients via Relevant Feature Analysis and Machine Learning. SN Computer Science 2023;4(3) View
- Chaddad A, Lu Q, Li J, Katib Y, Kateb R, Tanougast C, Bouridane A, Abdulkadir A. Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine. IEEE/CAA Journal of Automatica Sinica 2023;10(4):859 View
- Brauneck A, Schmalhorst L, Kazemi Majdabadi M, Bakhtiari M, Völker U, Baumbach J, Baumbach L, Buchholtz G. Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review. Journal of Medical Internet Research 2023;25:e41588 View
- Shen A, Francisco L, Sen S, Tewari A. Exploring the Relationship Between Privacy and Utility in Mobile Health: Algorithm Development and Validation via Simulations of Federated Learning, Differential Privacy, and External Attacks. Journal of Medical Internet Research 2023;25:e43664 View
- Lee G, Park J, Kim J, Kim Y, Choi B, Park R, Rhee S, Shin S. Feasibility Study of Federated Learning on the Distributed Research Network of OMOP Common Data Model. Healthcare Informatics Research 2023;29(2):168 View
- Khan Q, Khan A, Rizwan A, Ahmad R, Khan S, Kim D. Decentralized Machine Learning Training: A Survey on Synchronization, Consolidation, and Topologies. IEEE Access 2023;11:68031 View
- Takahashi K, Yamamoto K, Kuchiba A, Shintani A, Koyama T. Hypothesis testing procedure for binary and multi‐class F1‐scores in the paired design. Statistics in Medicine 2023;42(23):4177 View
- Navaz A, Serhani M, El Kassabi H, Taleb I. Empowering Patient Similarity Networks through Innovative Data-Quality-Aware Federated Profiling. Sensors 2023;23(14):6443 View
- Mali B, Saha S, Brahma D, Pinninti R, Singh P. Towards Building a Global Robust Model for Heart Disease Detection. SN Computer Science 2023;4(5) View
- Liang X, Zhao J, Chen Y, Bandara E, Shetty S. Architectural Design of a Blockchain-Enabled, Federated Learning Platform for Algorithmic Fairness in Predictive Health Care: Design Science Study. Journal of Medical Internet Research 2023;25:e46547 View
- Liu Y. Depression clinical detection model based on social media: a federated deep learning approach. The Journal of Supercomputing 2024;80(6):7931 View
- Zhang N, Ma Q, Chen X. Enabling Long-Term Cooperation in Cross-Silo Federated Learning: A Repeated Game Perspective. IEEE Transactions on Mobile Computing 2023;22(7):3910 View
- Luo G, Liu T, Lu J, Chen X, Yu L, Wu J, Chen D, Cai W. Influence of Data Distribution on Federated Learning Performance in Tumor Segmentation. Radiology: Artificial Intelligence 2023;5(3) View
- Chang H, Yu J, Lee G, Heo S, Lee S, Hwang S, Yoon H, Cha W, Shin T, Sim M, Jo I, Kim T. Clinical support system for triage based on federated learning for the Korea triage and acuity scale. Heliyon 2023;9(8):e19210 View
- Naresh V, Thamarai M, Allavarpu V. Privacy-preserving deep learning in medical informatics: applications, challenges, and solutions. Artificial Intelligence Review 2023;56(S1):1199 View
- Matschinske J, Späth J, Bakhtiari M, Probul N, Kazemi Majdabadi M, Nasirigerdeh R, Torkzadehmahani R, Hartebrodt A, Orban B, Fejér S, Zolotareva O, Das S, Baumbach L, Pauling J, Tomašević O, Bihari B, Bloice M, Donner N, Fdhila W, Frisch T, Hauschild A, Heider D, Holzinger A, Hötzendorfer W, Hospes J, Kacprowski T, Kastelitz M, List M, Mayer R, Moga M, Müller H, Pustozerova A, Röttger R, Saak C, Saranti A, Schmidt H, Tschohl C, Wenke N, Baumbach J. The FeatureCloud Platform for Federated Learning in Biomedicine: Unified Approach. Journal of Medical Internet Research 2023;25:e42621 View
- Zukaib U, Cui X, Hassan M, Harris S, Hadi H, Zheng C. Blockchain and Machine Learning in EHR Security: A Systematic Review. IEEE Access 2023;11:130230 View
- Tran A, Luong T, Huynh V. A comprehensive survey and taxonomy on privacy-preserving deep learning. Neurocomputing 2024;576:127345 View
- Paragliola G, Ribino P. Exploring heterogeneous data distribution issues in e-health federated systems. Biomedical Signal Processing and Control 2024;92:106039 View
- Kjwan A, Mohammad O. Enhancing Medical Data Analysis with Federated Learning in the Internet of Medical Things. International Journal of Research In Science & Engineering 2024;(43):38 View
- Coutinho-Almeida J, Cruz-Correia R, Rodrigues P. Evaluating distributed-learning on real-world obstetrics data: comparing distributed, centralized and local models. Scientific Reports 2024;14(1) View
- Saha S, Hota A, Chattopadhyay A, Nag A, Nandi S. A multifaceted survey on privacy preservation of federated learning: progress, challenges, and opportunities. Artificial Intelligence Review 2024;57(7) View
- Grzybowski A, Jin K, Zhou J, Pan X, Wang M, Ye J, Wong T. Retina Fundus Photograph-Based Artificial Intelligence Algorithms in Medicine: A Systematic Review. Ophthalmology and Therapy 2024;13(8):2125 View
- Mishra S, Chaudhury P, Tripathy H, Sahoo K, Jhanjhi N, Hassan Elnour A, Abdelmaboud A. Enhancing health care through medical cognitive virtual agents. DIGITAL HEALTH 2024;10 View
- Morar C, Popescu D. A Survey of Blockchain Applicability, Challenges, and Key Threats. Computers 2024;13(9):223 View
- Shin H, Ryu K, Kim J, Lee S. Application of privacy protection technology to healthcare big data. DIGITAL HEALTH 2024;10 View
Books/Policy Documents
- Van Landuyt D, Joosen W. Software Architecture. View
- Yoon J, Pinsky M, Clermont G. Annual Update in Intensive Care and Emergency Medicine 2022. View
- Ramesh V, S. H, Sundaram S, N. B. P, G. R. H. Handbook of Research on Design, Deployment, Automation, and Testing Strategies for 6G Mobile Core Network. View
- Singh A, Kumar A, Choi B. Intelligent Human Computer Interaction. View
- Georgoutsos A, Kerasiotis P, Kantere V. Web Information Systems Engineering – WISE 2023. View
- Guerra-Manzanares A, Lopez L, Maniatakos M, Shamout F. Trustworthy Machine Learning for Healthcare. View
- Hannemann A, Ewald J, Seeger L, Buchmann E. Computational Science – ICCS 2024. View
- Canelas-Pais M, Coutinho Almeida J, Magalhães Araujo S, Maia Rafael F, Cruz-Correia R, Pereira Rodrigues P. Artificial Intelligence for Drug Product Lifecycle Applications. View