Federated learning-based AI approaches in smart healthcare: Concepts, taxonomies, challenges and open issues

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Items 301–399 of 399

1. Optimized Federated Ensemble Learning for Secure IoMT-Based Healthcare Monitoring System
   Taniya Ghosh, Shreya Suman Patra, Sanjoy Mondal · 2025 · International Conference on Innovations in Intelligent Systems: Advancements in Computing, Communication, and Cybersecurity (ISAC3)
2. Modeling and Visualizing Human Experience in a Knowledge Graph: Understanding and Predicting Emotional Reactions to Life Events
   Otmane Azeroual, Renaud Fabre, Radka Valerieva Nacheva · 2025 · International Conference on Software and Computer Applications (ICSCA)
3. Challenges and Opportunities in Federated Learning for the Internet of Everything (IoE)
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4. ACCESS-FL: Agile Communication and Computation for Efficient Secure Aggregation in Stable Networks for FLaaS
   Niousha Nazemi, Omid Tavallaie, Shuaijun Chen, Anna Maria Mandalari, Kanchana Thilakarathna, Ralph Holz, Hamed Haddadi, Albert Y. Zomaya · 2025 · IEEE International Conference on Web Services (ICWS)
5. Personalized Federated Deep Reinforcement Learning System for Diabetes Management With Llm Integration
   Amima Shifa, Sherif M. Abdelfattah, Mahmoud M. Badr, Mohamed Baza, Amar A. Rasheed · 2025 · International Telecommunications Conference (ITC-Egypt)
6. Federated Learning for Healthcare: Analysis and Study on Heterogeneous Datasets using FedAP
   Shaik Teheseen Mehek, C. Kishor Kumar Reddy, Shreeya Vanka, Mohammed Hameed Alhameed, Mohammed Shuaib, Shadab Alam · 2025 · IEEE Congress on Information Science and Technology (CiSt)
7. Secure IoT Healthcare: Federated Learning and Blockchain for Privacy-Preserving AI
   Salim El Khediri · 2025 · Communications in computer and information science
8. Foresighting Outcomes and Risk Evaluation With Computational Artificial Intelligence in Stroke Trials: The Foresighting Outcomes and Risk Evaluation With Computational Artificial Intelligence in Stroke Trials (FORECAST) Study Protocol
   Dipannita Adhikary, Adneen Moureen, Gie Ken‐Dror, Md Abdullah Yusuf, Redoy Ranjan, Pankaj Sharma · 2025 · Cureus
9. Fed-DiTTab: Diffusion transformer for tabular data generation in federated learning
   Yajun Pi, Ming Zheng, Fanhao Ma · 2026 · Neural Networks
10. Multiscale Convolution Neural Network Integrated Long Short Term Memory Model towards Early detection and classification of Human Monkey Pox Disease
    T. S. Shanthi · 2025 · International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS)
11. Deep Learning based Prediction and Classification of Periodontal Disease Through Transfer Learning with ResNet121
    D. Prameen, R. Dhanapal · 2025 · International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI)
12. Attention based Residual U-Net as Transfer Learning for Periodontal Disease Prediction and Classification
    D. Prameen, R. Dhanapal · 2025 · International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI)
13. A Federated Learning-based Optic Disc and Cup Segmentation Model for Glaucoma Monitoring In Color Fundus Photographs
    Sudhanshu Shrivastava, Upasana Thakuria, Scott Kinder, Giacomo Nebbia, Nazlee Zebardast, Sally L. Baxter, Benjamin Yixing Xu, Saif Aldeen AlRyalat, Malik Y. Kahook, Jayashree Kalpathy–Cramer et al. · 2025 · medRxiv
14. SPATL-XLC: An Explainability-Driven Framework for Efficient and Robust Federated Learning Under Non-IID Data
    Samuel Hailemariam Seifu, Beakal Gizachew Assefa · 2025 · IEEE Access
15. Pod Scheduling and Proactive Resource Management in an Edge Cluster using MCDM and Federated Learning
    M R Naveen Kumar, Annappa B, Hrushikesh J, Siddharth Srinivasan, Samyak Sanjay Sand · 2025 · Journal of Grid Computing
16. Navigating the virtual frontier: challenges and solutions for ethical federated learning in metaverse healthcare in India
    Shashwata Sahu, Navonita Mallick · 2025 · Elsevier eBooks
17. Federated learning for predictive modeling of disease prevention in metaverse
    Dharani Jaganathan, A. Vadivel, S. Jansi Rani, Vaishnavi Thangamuthu · 2025 · Elsevier eBooks
18. Real-Time Stroke Monitoring IoT System using Federated Learning
    Prisilla. N, N. Gomathi · 2025 · International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS)
19. Pioneering Healthcare Diagnostics: Federated Learning and Neural Radiance Fields in Medical Image Processing
    Arush Saxena, J. Saira Banu · 2025 · International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)
20. Federated and Split Learning with Frugal Labelling and Label Scarcity in Healthcare Datasets
    Patrick Sello, Antoine Bagula, Ferdinand Kahenga · 2025 · IEEE Symposium on Computers and Communications (ISCC)
21. A Federated Learning Framework for Secure Crop Disease Detection in Decentralized Agricultural Environments
    Mohammad Nasar, Mohammad Abu Kausar, Md. Abu Nayyer · 2026 · Lecture notes in networks and systems
22. Design and verification of a verifiable privacy-preserving cloud-IoT computing platform integrating differential privacy and edge intelligence: based on secret sharing and gradient masking mechanisms
    Xiaomei Ding, Huaibao Ding, Fei Zhou, Xinyi Han, Qiongpei Wang, Jiayun Lang · 2026 · Engineering Research Express
23. Federated Learning in Natural Language Processing: A Comprehensive Review of Theories, Architectures, and Optimization Strategies
    Kawaljit Kaur, Reeti Jaswal · 2025 · International Conference on Internet of Everything, Microwave Engineering, Communication and Networks (IEMECON)
24. Federated Learning and Healthcare 5.0: Paving the Road Ahead for Privacy-Preserving Smart Health Systems
    Wasswa Shafik · 2026 · Studies in computational intelligence
25. Fundamentals of Federated Learning: Principles and Applications
    Wasswa Shafik · 2026 · Studies in computational intelligence
26. Predicting preterm birth with privacy-preserving AI models: Federated learning and explainable AI
    Md Tanjum An Tashrif, Shahariar Hossain Mahir, Dipanjali Kundu, Anichur Rahman, Fahmid Al Farid, Sarina Binti Mansor, Abu Saleh Musa Miah · 2026 · Egyptian Informatics Journal
27. A Comprehensive Study of Agentic AI Systems
    Raghuvar Karthik Durga · 2025 · International Journal of Scientific Research and Modern Technology.
28. Artificial intelligence in mobile health applications: A comprehensive review of its role in diabetes care
    Wen-Jie Li, Lin-Ze Li · 2026 · World Journal of Methodology
29. Federated Learning and its Uses in Modern Medical Industry: Concepts and Challenges
    G. Sivashankar, Satvik Sawhney, Ishita Goel, Ashokkumar P, Vandhana S, K.Babu · 2025 · International Conference on Electronics, Communication and Aerospace Technology (ICECA)
30. Enhancing Data Privacy in IoT-Enabled Healthcare Systems through Federated Learning and Secure Data Fusion
    Ismail Almsallati, H. M. Singh · 2025 · International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF)
31. Explainable AI and computational intelligence in healthcare: Application to clinical decision support and personalized medicine
    Megalingam Rajesh Kannan, V. Sindhu, D. Umamageshwari, K. Keerthika · 2026 · Elsevier eBooks
32. Federated Learning for Privacy-Preserving Data Science: Performance, Efficiency, and Scalability Analysis
    Nirwana, Muhammad Azhar, Mehwish Usman · 2026 · Journal of Data Sciences
33. Federated Learning Framework for Early Melanoma Detection System Using CapsNet
    D. Sudha, R. Naresh · 2026 · Journal of Electrical Engineering and Technology
34. Integrated Data analysis with smartphones, internet, and AI
    Mohan Kumar Dey, Ram V. Devireddy, Manas Ranjan Gartia · 2026 · Elsevier eBooks
35. Dynamic Q-Learning Optimization for Anomaly-Aware Intelligent Healthcare Access Security Framework
    G. Sivagamidevi, C. Pabitha · 2026 · International Conference on Image Processing and Capsule Networks (ICIPCN)
36. Multi-Agent Machine Unlearning in Healthcare AI: Neural, Symbolic, and Coordination
    Farzeen Basith, A. R. Deepti, Gousiyabanu R B, H. Meenakshi, Nisarga H R, Kothapalli Deekshitha · 2025 · International Conference on Transformative Computing Technologies (ICTCT)
37. Leveraging text data in healthcare: A systematic review of AI-driven emotional analysis and patient-centric innovations
    Prashant Kumar Nag, Amit Bhagat, R. Priya, Sunil Malviya, Sanjay Mishra · 2026 · AIP Conference Proceedings
38. Federated learning for privacy-preserving AI in healthcare applications
    Mayur Nagvekar, Pradnya Sulas Borkar, Sagarkumar S. Badhiye, Deshmukh Manoj Janardhan, Jadhav Sa, Anuradha Yenkikar · 2026 · AIP conference proceedings
39. Harnessing AI for Seamless E-Collaboration in Healthcare Through Building Smarter, Connected, and Patient-Centric Systems
    Noboranjan Dey, M. Mostafizur Rahman, Shaikat Das Joy, Kazi Tanvir, Rahul Biswas, Dipta Justin Gomes · 2026 · Advances in computational intelligence and robotics book series
40. Enhanced Detection of GAN‐Generated Image Forgeries Using Error Level Analysis and Deep Learning Models
    Kazi Rifat Ahmed, Md. Suhag Ali, Anichur Rahman, Sazia Sharmin, Md. Shakil Ahmed, Fahmid Al Farid, Sarina Binti Mansor, Abu Saleh Musa Miah · 2026 · IET Image Processing
41. An innovative ecosystem based on deep learning : Contributions for the prevention and prediction of diabetes complications
    Mohammud Shaad Ally Toofanee · 2023 · theses.fr (ABES)
42. Preference-Leveled Fuzzy AI for Evaluating Desirability in Smart Healthcare Systems
    A. Firos, Seema Khanum, Kurmendra · 2025 · Asia Meeting on Environment and Electrical Engineering (EEE-AM)
43. Introduction to the convergence of metaverse, artificial intelligence, and federated learning in healthcare
    Harpreet Kaur Channi, Ramandeep Sandhu, Amandeep Kaur · 2026 · Elsevier eBooks
44. Trustless intelligent rooms: a blockchain-enabled federated learning framework with lightweight neural networks for privacy-preserving healthcare
    Ramesh Kumar Veerapaneni, Radhakrishnan Delhibabu · 2026 · Frontiers in Blockchain
45. AI-Driven Architectural Patterns for Scalable Real-Time Triage and Crisis Prediction in Public Health Systems
    Sridhar Lanka · 2026 · International Journal of Latest Technology in Engineering Management & Applied Science
46. Machines That Heal
    Ahmed ElSayary · 2026 · Advances in computational intelligence and robotics book series
47. Digital synergy: exploring the impact of social media influence, value co-creation and AI adoption on customer adoption
    Umer Mukhtar, Muhammad Burhan Ud Din Ali Hamid · 2026 · International Journal of Pharmaceutical and Healthcare Marketing
48. Biomedical Monitoring Utilizing the Industrial Internet of Things: Predictive Analytics and Real-Time Patient Vital Sign Monitoring for Customized Healthcare Systems
    Naregalkar Akshaykumar Rangnath, R. K. Jeyauthmigha, M. Rajasekaran, Sivakumar Kaliyappan, Pradeep G, G. Karthikeyan · 2026 · International Conference on Smart Futuristic Technology (SMARTTECH)
49. Introduction to Artificial Intelligence and Nanotechnology
    Matineh Ghomi · 2026 · ACS symposium series
50. Challenges and Limitations of Artificial Intelligence in Nanotechnology-Based Drug Delivery and Biotechnology
    Donya Esmaeilpour · 2026 · ACS symposium series
51. Title, Copyright, Foreword
    2026 · ACS symposium series
52. AI Algorithms in Nanocarrier Design
    Hisham Al-Obaidi, Liam J. Escott, Alex V. Lukyanov, Suha Dadou · 2026 · ACS symposium series
53. Artificial Intelligence in Nanotechnology: Advanced Drug Delivery and Sustainable Biotechnology Solutions
    Mika Sillanpää1, Donya Esmaeilpour · 2026 · ACS symposium series
54. Real-World Application of AI in Nanotechnology
    Amol Dilip Gholap, Pankaj R. Khuspe, Deepali Mane, Md. Faiyazuddin · 2026 · ACS symposium series
55. Subject Index
    2026 · ACS symposium series
56. Editors’ Biographies
    2026 · ACS symposium series
57. AI-Driven Nanocarrier Design for Smart Drug Delivery: Bridging Intelligence and Precision in Therapeutics
    Md Jasim Uddin, Sharmin Lucky, Afsana Akther Dina, Mashiat Labiba, Janifa Ferdous Joya, Sumaiya Ahmed, Amol Dilip Gholap · 2026 · ACS symposium series
58. Artificial Intelligence-Driven Environmental Biotechnology: Integrating Nanotechnology, Waste Management, and Sustainable Remediation
    Samson Olusegun Afolabi, Екатерина Владимировна Скорб, Sergey Shityakov · 2026 · ACS symposium series
59. Preface
    Mika E. T. Sillanpää, Donya Esmaeilpour · 2026 · ACS symposium series
60. Pneumonia Detection Based on X-Ray and Blood Tests with Multimodal and Federated Learning
    Alexandre Reeberg de Mello, Leticia A Cechinel, Leandro P da Silva, Claudio Filipi Gonçalves dos Santos, Patrick Martins de Faria, Márcio Biczyk, Leandro Nunes de Castro, Vinícius Monteiro de Paula Guirado, Rafael Marin Machado de Souza · 2026 · Lecture notes in computer science
61. Exploring the Role of Federated Learning and Split Learning in Advancing Healthcare Technology
    Mithaguru, A.Vegi Fernando · 2026 · Communications in computer and information science
62. Revolutionizing Cloud Security through Federated Learning for Next-Gen Healthcare Systems in South Africa
    Ramahlapane Lerato Moila, Mthulisi Velempini · 2025 · IEEE AFRICON
63. Privacy-Preserving Federated Learning for Fraud Detection in Distributed Banking Networks
    Ifeanyi Bryan Uzoatu, Olamide Jogunola, Ahmed Danladi Abdullahi, Bamidele Adebisi, Tooska Dargahi · 2026 · IEEE Internet of Things Journal
64. Artificial Intelligence and machine learning in clinical pathways for healthcare
    Neelima, Himanshi · 2026 · Elsevier eBooks
65. Federated Autoencoder-Enhanced Fuzzy Clustering for Health Risk Stratification: A Non-IID Client-Aware Unsupervised Framework
    Raghavendra M Devadas, Sowmya T. · 2026 · Neural Processing Letters
66. Federated Learning and Collaborative AI in Medical Diagnostics
    Shaista Ashraf Farooqi · 2026 · Advances in computational intelligence and robotics book series
67. Multi-source perception early disease monitoring system based on IoT and large language models: research status, layered architecture and future trends
    Boyuan Wang, Xuan Hua · 2026 · Cluster Computing
68. Trustworthy Federated Machine Learning in Healthcare: A Sociotechnical and Risk-Based Evaluation Using the Z-Inspection® Method
    Pedro Kringen, Antti P. Happonen, Petra Ekman, Charles Vesteghem, Benjamin Barlous, Antonios Danelakis, Mark van Gils, Pedro A. Moreno-Sánchez, Magnus Westerlund · 2026 · Communications in computer and information science
69. Poisoning the Swarm: Evaluating data-level vulnerabilities in decentralized Internet of Medical Things-enabled healthcare networks
    Ngo Duc Hoang Son, Vuong Dinh Thanh Ngan, Le Minh Nha, Tran Duc Luong, Van-Hau Pham, Phan The Duy · 2026 · Computers & Electrical Engineering
70. Application of artificial intelligence-based models in smart healthcare devices
    Rajdip Goswami, Subhajit Das, Mahenderan Appukutty, Ayan Chatterjee · 2026 · Elsevier eBooks
71. A SYSTEMATIC NARRATIVE REVIEW (SNR) OF ARTIFICIAL INTELLIGENCE (AI) APPLICATIONS IN TOURISM
    Akif Gökçe, Erdem Baydeni̇z, Fatima Zahra Fakir · 2026 · International Journal of Contemporary Tourism Research
72. Structured-to-text ClinicalBERT embeddings with random Forest for heart disease prediction: a proof-of-concept study on the UCI Statlog dataset
    U. Priyadharshini, R. Vijayan · 2026 · Frontiers in Artificial Intelligence
73. A Survey on Security Threats and Mitigation Mechanisms for Smart Hospitals in the 6G Era
    Orestis Maraziotis, Γεώργιος Μαντάς, Jonathan Rodriguez, Felipe Gil‐Castiñeira · 2026 · Sensors
74. A Federated Data Engineering Architecture for AI-based Analytics using Software Engineering Principles
    Santhosh Deep Moturi, Sailaja Songa, Govinda RaviRaj Mulasa · 2026 · International conference Computer Networks and Inventive Communication Technologies
75. Bibliometrics Analysis for Exploring Scientific Evaluation of Federated Learning in Medical Images
    Amita Salaria, Vikas Khullar, Surya Narayan Panda, Muskan Chawla · 2026 · Procedia Computer Science
76. AI-Powered Wearable Devices for Real-Time Health Monitoring: Technologies, Challenges, and Emerging Trends
    Bulus Bali, Favanza Iliya Kwaha · 2026 · Journal of Engineering Advancements
77. Smart FL: meta-learning for federated blood marrow smear classification
    N Ilakiyaselvan, Srivastava Sanskar, Aarthi Dhandapani, V. Kalyanasundaram · 2026 · Frontiers in Oncology
78. A systematic survey of blockchain-enabled artificial intelligence for industrial IoT: recent advances, integration challenges, and future prospects
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79. Privacy-preserving AI in healthcare: a comprehensive survey of techniques and challenges
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80. Federated Learning in Smart Healthcare
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81. GAN-FedCNN for secure data sharing and anomaly detection in cyber-physical systems
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82. AI-Driven and Privacy-Preserving Frameworks for Strategic Management of Transnational Education Partnerships
    Akmal Allakuliev, R. N. Ravikumar, Asadbek Eshniyozov, Shilpa Aarthi, Egamberdiyev Humoyun Hamroqul o‘g‘li, Erkin Temirovich Shodiev · 2026 · IGI Global eBooks
83. FedOort: A Fair and Efficient Optimization Method for Federated Learning
    Zhaohua Zheng, Jun-Hui Du, Xin Xie, Qiquan Chen, Xu Han, Qixing Huang, Jin Zhang · 2026 · IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing
84. Community-Centered AI Biosurveillance
    Fizza Waheed, Saman Mahmood, Nimra Aslam, Fatima Umer Draz, Eiman Ashiq, Ayesha Shabbir, Abu Sulman, Naima Khan, Adnan Afzal, Babar Khan · 2026 · Advances in computational intelligence and robotics book series
85. The RE-SAMPLE Ecosystem for Privacy-Preserving Personalized Healthcare for COPD and Comorbidities: Open Federated Learning Platform, Data, and Models
    Jakob Lehmann, Gesa Wimberg, Serge Autexier, Alberto Acebes, Christos Kalloniatis, Costas Lambrinoudakis, Thrasyvoulos Giannakopoulos, Andreas Menegatos, Agni Delvinioti, Giulio Pagliari et al. · 2026 · Communications in computer and information science
86. Mel-TansWeD-CNN: Respiratory Diseases Detection Framework Through Acoustic Features and Fusion of CNN with Transformer
    Auliya Ur Rahman, Asima Ismail · 2026 · International Journal of Innovations in Science and Technology
87. Securing Healthcare Data Using AI-Driven Approaches to Privacy and Compliance
    Snehal Dipak Chaudhary, K Jose Reena, Kawerinder Singh Sidhu, Pamarthi Satyanarayana, E. Sweety Bakyarani, Joshuva Arockia Dhanraj, Hassan Khalid Abozibid · 2026 · Springer eBooks
88. Development and Validation of SERRATE: A Deep Learning-Based Tool for Diagnosis of Sessile Serrated Lesions in Colonoscopy Images
    Wenmo Hu, Erdong Chen, Linfeng Zou, Qilei Chen, Tianrui Hua, Kai Song, Yanyan Wu, Long Zou, Pengguang Yan, Bowen Tian et al. · 2026 · Research Square
89. The Digital Transformation of Rehabilitation Medicine: A Narrative Review of Artificial Intelligence Innovations, Clinical Integration, and Future Paradigms
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90. Topology Before Optimization
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91. Distribution Shift in Healthcare AI: Detection Methods, Adaptation Strategies, and Failure Taxonomies
    Anna Kowalska, Piotr Nowak, Tomasz Zielinski, Katarzyna Mazur · 2023 · Journal of Health Informatics and Digital Systems
92. Sustainable Smart Healthcare with Advanced Data Analytics and Artificial Intelligence: A Review of the Singapore Model and a Roadmap to Oman
    Mohammed Saif Akhlak Ahmed Khot, Mohammed Izaan Kari, Danish Garg, Shaik Asif Hussain, Aida Jashim Uddin · 2026 · MEC International Conference on Big Data and Smart City (ICBDSC)
93. Hybrid AI Models Leveraging Federated Learning, Deep Neural Networks, and Optimization for Inclusive, Resilient, and Sustainable Urban Management
    M. Thanjaivadivel, C Gobinath, R. C. Karpagalakshmi, G. Arulkumaran, Desalegn Kitesa Hayilu, Rajesh Sharma R · 2026 · Journal of Electrical and Computer Engineering
94. From 5G smart hospitals to 6G-enabled learning hospitals: a governance-oriented framework for healthcare technology, policy, and responsible deployment
    Guiyang Zhou, Lisha Wu · 2026 · Frontiers in Digital Health
95. XAI for predictive modelling in electronic health records (EHRs)
    Chaithanya Kumar Viralam Ramamurthy, Saravanan Matheswaran, Anjitha Mary Paul, M. Mahalakshmi, Bhraguram Thayyil, A. Vijayaraj · 2026 · Elsevier eBooks
96. Platform-free proof of federated learning consensus blockchain with optimized neural network-based electronic health records storage and sharing scheme
    M Lavanya · 2026 · Knowledge and Information Systems
97. A review of machine learning and the internet of things for remote patient monitoring covering advances challenges and opportunities
    Sumitra Singar, Raghuveer Singh Dhaka, Manmohan Sharma · 2026 · Discover Computing
98. Variance-aware MGO-based intelligent client selection for communication- and energy-efficient federated learning in Non-IID Edge-IoT networks
    Elahe Eslami, Seyed Abolfazl Shahzadeh Fazeli, Jamshid Abouei, Elham Abbasi, Seyed Mehdi Karbassi · 2026 · Advanced Engineering Informatics
99. Involving Observer Reports in Decentralized Trials to Aid Passive Sensing: Interview Study Among People with Parkinson’s and their Carers (Preprint)
    Elaine Czech, Eleni Margariti, Catherine Morgan, Alan L. Whone, Ian James Craddock, Abigail C. Durrant, David Kirk, Aisling Ann O’Kane, Kenton P. O'Hara · 2026 · JMIR Formative Research