Published on in Vol 6, No 2 (2018): Apr-Jun
Journals
- Goecks J, Jalili V, Heiser L, Gray J. How Machine Learning Will Transform Biomedicine. Cell 2020;181(1):92 View
- Li Z, Roberts K, Jiang X, Long Q. Distributed learning from multiple EHR databases: Contextual embedding models for medical events. Journal of Biomedical Informatics 2019;92:103138 View
- Wang Y, Wen A, Liu S, Hersh W, Bedrick S, Liu H. Test collections for electronic health record-based clinical information retrieval. JAMIA Open 2019;2(3):360 View
- Kapa S, Halamka J, Raskar R. Contact Tracing to Manage COVID-19 Spread—Balancing Personal Privacy and Public Health. Mayo Clinic Proceedings 2020;95(7):1320 View
- Kim M, Lee J, Ohno-Machado L, Jiang X. Secure and Differentially Private Logistic Regression for Horizontally Distributed Data. IEEE Transactions on Information Forensics and Security 2020;15:695 View
- Jia Z, Zeng X, Duan H, Lu X, Li H. A patient-similarity-based model for diagnostic prediction. International Journal of Medical Informatics 2020;135:104073 View
- Liu Y, Tian M, Xu C, Zhao L. Neural network feature learning based on image self-encoding. International Journal of Advanced Robotic Systems 2020;17(2):172988142092165 View
- Rieke N, Hancox J, Li W, Milletarì F, Roth H, Albarqouni S, Bakas S, Galtier M, Landman B, Maier-Hein K, Ourselin S, Sheller M, Summers R, Trask A, Xu D, Baust M, Cardoso M. The future of digital health with federated learning. npj Digital Medicine 2020;3(1) View
- Yin F, Lin Z, Kong Q, Xu Y, Li D, Theodoridis S, Cui S. FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing. IEEE Open Journal of Signal Processing 2020;1:187 View
- Park C, Seo S, Kang N, Ko B, Choi B, Park C, Chang D, Kim H, Kim H, Lee H, Jang J, Ye J, Jeon J, Seo J, Kim K, Jung K, Kim N, Paek S, Shin S, Yoo S, Choi Y, Kim Y, Yoon H. Artificial Intelligence in Health Care: Current Applications and Issues. Journal of Korean Medical Science 2020;35(42) View
- Si Y, Du J, Li Z, Jiang X, Miller T, Wang F, Jim Zheng W, Roberts K. Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review. Journal of Biomedical Informatics 2021;115:103671 View
- Xu J, Glicksberg B, Su C, Walker P, Bian J, Wang F. Federated Learning for Healthcare Informatics. Journal of Healthcare Informatics Research 2021;5(1):1 View
- Liu J, Goetz J, Sen S, Tewari A. Learning From Others Without Sacrificing Privacy: Simulation Comparing Centralized and Federated Machine Learning on Mobile Health Data. JMIR mHealth and uHealth 2021;9(3):e23728 View
- Kirienko M, Sollini M, Ninatti G, Loiacono D, Giacomello E, Gozzi N, Amigoni F, Mainardi L, Lanzi P, Chiti A. Distributed learning: a reliable privacy-preserving strategy to change multicenter collaborations using AI. European Journal of Nuclear Medicine and Molecular Imaging 2021;48(12):3791 View
- Feki I, Ammar S, Kessentini Y, Muhammad K. Federated learning for COVID-19 screening from Chest X-ray images. Applied Soft Computing 2021;106:107330 View
- Lee T, Lee J, Jun C. Bilingual autoencoder-based efficient harmonization of multi-source private data for accurate predictive modeling. Information Sciences 2021;568:403 View
- Abdulkareem M, Petersen S. The Promise of AI in Detection, Diagnosis, and Epidemiology for Combating COVID-19: Beyond the Hype. Frontiers in Artificial Intelligence 2021;4 View
- Danilevicz M, Bayer P, Nestor B, Bennamoun M, Edwards D. Resources for image-based high-throughput phenotyping in crops and data sharing challenges. Plant Physiology 2021;187(2):699 View
- Rahman A, Hossain M, Muhammad G, Kundu D, Debnath T, Rahman M, Khan M, Tiwari P, Band S. Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues. Cluster Computing 2023;26(4):2271 View
- Zhang A, Xing L, Zou J, Wu J. Shifting machine learning for healthcare from development to deployment and from models to data. Nature Biomedical Engineering 2022;6(12):1330 View
- Li L, Fan Y, Tse M, Lin K. A review of applications in federated learning. Computers & Industrial Engineering 2020;149:106854 View
- Bharati S, Mondal M, Podder P, Prasath V. Federated learning: Applications, challenges and future directions. International Journal of Hybrid Intelligent Systems 2022;18(1-2):19 View
- Li Z, Mao F, Wu C. Can we share models if sharing data is not an option?. Patterns 2022;3(11):100603 View
- Ogier du Terrail J, Leopold A, Joly C, Béguier C, Andreux M, Maussion C, Schmauch B, Tramel E, Bendjebbar E, Zaslavskiy M, Wainrib G, Milder M, Gervasoni J, Guerin J, Durand T, Livartowski A, Moutet K, Gautier C, Djafar I, Moisson A, Marini C, Galtier M, Balazard F, Dubois R, Moreira J, Simon A, Drubay D, Lacroix-Triki M, Franchet C, Bataillon G, Heudel P. Federated learning for predicting histological response to neoadjuvant chemotherapy in triple-negative breast cancer. Nature Medicine 2023;29(1):135 View
- Allam A, Feuerriegel S, Rebhan M, Krauthammer M. Analyzing Patient Trajectories With Artificial Intelligence. Journal of Medical Internet Research 2021;23(12):e29812 View
- Torkzadehmahani R, Nasirigerdeh R, Blumenthal D, Kacprowski T, List M, Matschinske J, Spaeth J, Wenke N, Baumbach J. Privacy-Preserving Artificial Intelligence Techniques in Biomedicine. Methods of Information in Medicine 2022;61(S 01):e12 View
- Che S, Kong Z, Peng H, Sun L, Leow A, Chen Y, He L. Federated Multi-view Learning for Private Medical Data Integration and Analysis. ACM Transactions on Intelligent Systems and Technology 2022;13(4):1 View
- Silva P, Vinagre J, Gama J. Towards federated learning: An overview of methods and applications. WIREs Data Mining and Knowledge Discovery 2023;13(2) 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
- 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
- Rahman K, Ahmed F, Akhter N, Hasan M, Amin R, Aziz K, Islam A, Mukta M, Islam A. Challenges, Applications and Design Aspects of Federated Learning: A Survey. IEEE Access 2021;9:124682 View
- Deng T, Hamdan H, Yaakob R, Kasmiran K. Personalized Federated Learning for In-Hospital Mortality Prediction of Multi-Center ICU. IEEE Access 2023;11:11652 View
- Dasaradharami Reddy K, Gadekallu T, Doulamis A. A Comprehensive Survey on Federated Learning Techniques for Healthcare Informatics. Computational Intelligence and Neuroscience 2023;2023(1) View
- Jordan S, Fontaine C, Hendricks-Sturrup R. Selecting Privacy-Enhancing Technologies for Managing Health Data Use. Frontiers in Public Health 2022;10 View
- Hallock H, Marshall S, 't Hoen P, Nygård J, Hoorne B, Fox C, Alagaratnam S. Federated Networks for Distributed Analysis of Health Data. Frontiers in Public Health 2021;9 View
- Danilevicz M, Gill M, Anderson R, Batley J, Bennamoun M, Bayer P, Edwards D. Plant Genotype to Phenotype Prediction Using Machine Learning. Frontiers in Genetics 2022;13 View
- Wang H, Shen H, Li F, Wu Y, Li M, Shi Z, Deng F. Novel PV Power Hybrid Prediction Model Based on FL Co-Training Method. Electronics 2023;12(3):730 View
- Li Q, Wei X, Lin H, Liu Y, Chen T, Ma X. Inspecting the Running Process of Horizontal Federated Learning via Visual Analytics. IEEE Transactions on Visualization and Computer Graphics 2022;28(12):4085 View
- Dang T, Lan X, Weng J, Feng M. Federated Learning for Electronic Health Records. ACM Transactions on Intelligent Systems and Technology 2022;13(5):1 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
- Antunes R, André da Costa C, Küderle A, Yari I, Eskofier B. Federated Learning for Healthcare: Systematic Review and Architecture Proposal. ACM Transactions on Intelligent Systems and Technology 2022;13(4):1 View
- Gkoulalas-Divanis A, Vatsalan D, Karapiperis D, Kantarcioglu M. Modern Privacy-Preserving Record Linkage Techniques: An Overview. IEEE Transactions on Information Forensics and Security 2021;16:4966 View
- Lopez Pineda A, Pourshafeie A, Ioannidis A, Leibold C, Chan A, Bustamante C, Frankovich J, Wojcik G. Discovering prescription patterns in pediatric acute-onset neuropsychiatric syndrome patients. Journal of Biomedical Informatics 2021;113:103664 View
- Lee M, Kim S, Kim H, Lee J. Technology Opportunity Discovery using Deep Learning-based Text Mining and a Knowledge Graph. Technological Forecasting and Social Change 2022;180:121718 View
- Darzidehkalani E, Ghasemi-rad M, van Ooijen P. Federated Learning in Medical Imaging: Part I: Toward Multicentral Health Care Ecosystems. Journal of the American College of Radiology 2022;19(8):969 View
- Huang W, Barnard A. Federated data processing and learning for collaboration in the physical sciences. Machine Learning: Science and Technology 2022;3(4):045023 View
- Navaz A, T. El-Kassabi H, Serhani M, Oulhaj A, Khalil K. A Novel Patient Similarity Network (PSN) Framework Based on Multi-Model Deep Learning for Precision Medicine. Journal of Personalized Medicine 2022;12(5):768 View
- Sadilek A, Liu L, Nguyen D, Kamruzzaman M, Serghiou S, Rader B, Ingerman A, Mellem S, Kairouz P, Nsoesie E, MacFarlane J, Vullikanti A, Marathe M, Eastham P, Brownstein J, Arcas B, Howell M, Hernandez J. Privacy-first health research with federated learning. npj Digital Medicine 2021;4(1) View
- Topaloglu M, Morrell E, Rajendran S, Topaloglu U. In the Pursuit of Privacy: The Promises and Predicaments of Federated Learning in Healthcare. Frontiers in Artificial Intelligence 2021;4 View
- Chen R, Zhang Y, Dou Z, Chen F, Xie K, Wang S. Data Sharing and Privacy in Pharmaceutical Studies. Current Pharmaceutical Design 2021;27(7):911 View
- Palihawadana C, Wiratunga N, Wijekoon A, Kalutarage H. FedSim: Similarity guided model aggregation for Federated Learning. Neurocomputing 2022;483:432 View
- Stripelis D, Thompson P, Ambite J. Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings. ACM Transactions on Intelligent Systems and Technology 2022;13(5):1 View
- Aouedi O, Sacco A, Piamrat K, Marchetto G. Handling Privacy-Sensitive Medical Data With Federated Learning: Challenges and Future Directions. IEEE Journal of Biomedical and Health Informatics 2023;27(2):790 View
- Xu X, Peng H, Bhuiyan M, Hao Z, Liu L, Sun L, He L. Privacy-Preserving Federated Depression Detection From Multisource Mobile Health Data. IEEE Transactions on Industrial Informatics 2022;18(7):4788 View
- Naz S, Phan K, Chen Y. A comprehensive review of federated learning for COVID‐19 detection. International Journal of Intelligent Systems 2022;37(3):2371 View
- Khalid N, Qayyum A, Bilal M, Al-Fuqaha A, Qadir J. Privacy-preserving artificial intelligence in healthcare: Techniques and applications. Computers in Biology and Medicine 2023;158:106848 View
- Gong Y, Li X, Wang L. FedMBC: Personalized federated learning via mutually beneficial collaboration. Computer Communications 2023;205:108 View
- Li M, Lin Y, Chen H, Aparasu R. An unsupervised embedding harmonization system for privacy-preserving data mining in healthcare. IISE Transactions on Healthcare Systems Engineering 2024;14(1):1 View
- Wang Q, He M, Guo L, Chai H. AFEI: adaptive optimized vertical federated learning for heterogeneous multi-omics data integration. Briefings in Bioinformatics 2023;24(5) View
- Xu X, Qi Z, Han X, Xu A, Geng Z, He X, Ren Y, Duo Z. Predicting anticancer drug sensitivity on distributed data sources using federated deep learning. Heliyon 2023;9(8):e18615 View
- Asaadi S, Martins K, Lee M, Pantoja J. Artificial intelligence for the vascular surgeon. Seminars in Vascular Surgery 2023;36(3):394 View
- Lee T, Kim S, Lee J, Jun C. Word2Vec-based efficient privacy-preserving shared representation learning for federated recommendation system in a cross-device setting. Information Sciences 2023;651:119728 View
- Petti M, Farina L. Network medicine for patients' stratification: From single‐layer to multi‐omics. WIREs Mechanisms of Disease 2023;15(6) View
- Rogers M, Janjua H, Walczak S, Baker M, Read M, Cios K, Velanovich V, Pietrobon R, Kuo P. Artificial Intelligence in Surgical Research: Accomplishments and Future Directions. The American Journal of Surgery 2024;230:82 View
- Zhang L, Xu J, Vijayakumar P, Sharma P, Ghosh U. Homomorphic Encryption-Based Privacy-Preserving Federated Learning in IoT-Enabled Healthcare System. IEEE Transactions on Network Science and Engineering 2023;10(5):2864 View
- Śmietanka M, Pithadia H, Treleaven P. Federated learning for privacy-preserving data access. International Journal of Data Science and Big Data Analytics 2021;1(2):1 View
- Xu B, Zhang Y, Fan Z, Han L, Shen Z. Patient privacy protection: Generating available medical treatment plans based on federated learning and CBR. Information & Management 2024;61(7):103908 View
- PHONG L, PHUONG T, WANG L, OZAWA S. Frameworks for Privacy-Preserving Federated Learning. IEICE Transactions on Information and Systems 2024;E107.D(1):2 View
- Malik H, Anees T. Federated learning with deep convolutional neural networks for the detection of multiple chest diseases using chest x-rays. Multimedia Tools and Applications 2024;83(23):63017 View
- Jiang S, Li Y, Firouzi F, Chakrabarty K. Federated clustered multi-domain learning for health monitoring. Scientific Reports 2024;14(1) View
- Song J, Song Z, Zhang J, Gong Y. Privacy-Preserving Identification of Cancer Subtype-Specific Driver Genes Based on Multigenomics Data with Privatedriver. Journal of Computational Biology 2024;31(2):99 View
- Lee T, Kim S, Lee J, Jun C. HarmoSATE: Harmonized embedding-based self-attentive encoder to improve accuracy of privacy-preserving federated predictive analysis. Information Sciences 2024;662:120265 View
- Darzi E, Sijtsema N, van Ooijen P. A comparative study of federated learning methods for COVID-19 detection. Scientific Reports 2024;14(1) View
- Malhotra R, Bansal A, Kessentini M. Deployment and performance monitoring of docker based federated learning framework for software defect prediction. Cluster Computing 2024;27(5):6039 View
- Wang R, Qiu H, Gao H, Li C, Dong Z, Liu J. Adaptive Horizontal Federated Learning-Based Demand Response Baseline Load Estimation. IEEE Transactions on Smart Grid 2024;15(2):1659 View
- Fu S, Jia H, Vassilaki M, Keloth V, Dang Y, Zhou Y, Garg M, Petersen R, St Sauver J, Moon S, Wang L, Wen A, Li F, Xu H, Tao C, Fan J, Liu H, Sohn S. FedFSA: Hybrid and federated framework for functional status ascertainment across institutions. Journal of Biomedical Informatics 2024;152:104623 View
- Zidi I, Issaoui I, El Khediri S, Khan R. An approach based on NSGA-III algorithm for solving the multi-objective federated learning optimization problem. International Journal of Information Technology 2024;16(5):3163 View
- Qu Z, Ding J, Jhaveri R, Djenouri Y, Ning X, Tiwari P. FedSarah: A Novel Low-Latency Federated Learning Algorithm for Consumer-Centric Personalized Recommendation Systems. IEEE Transactions on Consumer Electronics 2024;70(1):2675 View
- Chai H, Huang Y, Xu L, Song X, He M, Wang Q. A decentralized federated learning-based cancer survival prediction method with privacy protection. Heliyon 2024;10(11):e31873 View
- Gahlan N, Sethia D. Federated learning in Emotion Recognition Systems based on physiological signals for privacy preservation: a review. Multimedia Tools and Applications 2024 View
- Zhang L, Xu J, Sivaraman A, Deborah Lazarus J, Sharma P, Pandi V. A Two-Stage Differential Privacy Scheme for Federated Learning Based on Edge Intelligence. IEEE Journal of Biomedical and Health Informatics 2024;28(6):3349 View
- Ullah F, Srivastava G, Xiao H, Ullah S, Lin J, Zhao Y. A Scalable Federated Learning Approach for Collaborative Smart Healthcare Systems With Intermittent Clients Using Medical Imaging. IEEE Journal of Biomedical and Health Informatics 2024;28(6):3293 View
- Nerella S, Bandyopadhyay S, Zhang J, Contreras M, Siegel S, Bumin A, Silva B, Sena J, Shickel B, Bihorac A, Khezeli K, Rashidi P. Transformers and large language models in healthcare: A review. Artificial Intelligence in Medicine 2024;154:102900 View
- Zhang F, Kreuter D, Chen Y, Dittmer S, Tull S, Shadbahr T, Schut M, Asselbergs F, Kar S, Sivapalaratnam S, Williams S, Koh M, Henskens Y, de Wit B, D’Alessandro U, Bah B, Secka O, Nachev P, Gupta R, Trompeter S, Boeckx N, van Laer C, Awandare G, Sarpong K, Amenga-Etego L, Leers M, Huijskens M, McDermott S, Ouwehand W, Rudd J, Schӧnlieb C, Gleadall N, Roberts M, Preller J, Rudd J, Aston J, Schönlieb C. Recent methodological advances in federated learning for healthcare. Patterns 2024;5(6):101006 View
- Gangwal A, Ansari A, Ahmad I, Azad A, Wan Sulaiman W. Current strategies to address data scarcity in artificial intelligence-based drug discovery: A comprehensive review. Computers in Biology and Medicine 2024;179:108734 View
- Song C, Wang Z, Peng W, Yang N. Secure and Efficient Federated Learning Schemes for Healthcare Systems. Electronics 2024;13(13):2620 View
- Sachin D, Annappa B, Ambesange S. Federated learning for digital healthcare: concepts, applications, frameworks, and challenges. Computing 2024;106(9):3113 View
- Stripelis D, Gupta U, Saleem H, Dhinagar N, Ghai T, Anastasiou C, Sánchez R, Steeg G, Ravi S, Naveed M, Thompson P, Ambite J. A federated learning architecture for secure and private neuroimaging analysis. Patterns 2024;5(8):101031 View
- Tajabadi M, Martin R, Heider D. Privacy-preserving decentralized learning methods for biomedical applications. Computational and Structural Biotechnology Journal 2024;23:3281 View
- Xie Q, Jiang S, Jiang L, Huang Y, Zhao Z, Khan S, Dai W, Liu Z, Wu K. Efficiency Optimization Techniques in Privacy-Preserving Federated Learning With Homomorphic Encryption: A Brief Survey. IEEE Internet of Things Journal 2024;11(14):24569 View
- Firdaus N, Raza Z. Federated learning based multi‐head attention framework for medical image classification. Concurrency and Computation: Practice and Experience 2024;36(27) View
- Heiyanthuduwage S, Altas I, Bewong M, Islam M, Deho O. Decision Trees in Federated Learning: Current State and Future Opportunities. IEEE Access 2024;12:127943 View
- Hu G, Fang X. FLCMC: Federated Learning Approach for Chinese Medicinal Text Classification. Entropy 2024;26(10):871 View
- Shin H, Ryu K, Kim J, Lee S. Application of privacy protection technology to healthcare big data. DIGITAL HEALTH 2024;10 View
- Johnvictor A, Poonkodi M, Prem Sankar N, VS T. TinyML-Based Lightweight AI Healthcare Mobile Chatbot Deployment. Journal of Multidisciplinary Healthcare 2024;Volume 17:5091 View
- Niu S, Zhou X, Wang N, Kong W, Chen L. Secure and verifiable federated learning against poisoning attacks in IoMT. Computers and Electrical Engineering 2025;122:109900 View
- Wang J, Wang R, Xiong L, Xiong N, Liu Z. SAEV: Secure Aggregation and Efficient Verification for Privacy-Preserving Federated Learning. IEEE Internet of Things Journal 2024;11(24):39681 View
Books/Policy Documents
- Silva S, Altmann A, Gutman B, Lorenzi M. Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning. View
- Sharma S, Kesarwani A, Maheshwari S, Rai B. Federated Learning for IoT Applications. View
- Farjana A, Makkar A. Recent Trends in Image Processing and Pattern Recognition. View
- Schneider P, Xhafa F. Anomaly Detection and Complex Event Processing over IoT Data Streams. View
- Patra G, Bhimala K, Marndi A, Chowdhury S, Rahaman J, Nandi S, Sarkar R, Gouda K, Ramesh K, Barnwal R, Raj S, Saini A. Deep Learning. View
- Tarcar A. Federated Learning. 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
- Long G, Shen T, Tan Y, Gerrard L, Clarke A, Jiang J. Humanity Driven AI. View
- Wang D, Wang T. Soft Computing in Data Science. View
- Sahoo P, Saha S, Mondal S, Chowdhury S, Gowda S. Neural Information Processing. View
- Ameijeiras-Rodriguez C, Rb-Silva R, Diniz J, Souza J, Freitas A. Computational Science – ICCS 2023. View
- Gupta M, Sharma P, Kalra R. Federated Learning and AI for Healthcare 5.0. View
- Kakkar A, Kumar S. Federated Learning and Privacy-Preserving in Healthcare AI. View
- Saadati Y, Imteaj A, Amini M. Distributed Machine Learning and Computing. View
- Udeji F, Sur S, Kumaravelu V, Kavitha K. Federated Learning for Digital Healthcare Systems. View
- Farnaz N, Guru S, Prakash A, Tripathy H, Yang T, Wang L, Rathore B. Proceedings of Fifth Doctoral Symposium on Computational Intelligence. View
- Ullah F, Mostarda L, Cacciagrano D, Naeem H, Ullah S, Chaudhary P, Zhao Y. Advances on P2P, Parallel, Grid, Cloud and Internet Computing. View