A Review of Privacy Enhancement Methods for Federated Learning in Healthcare Systems
Gu, Xin, Sabrina, Fariza, Fan, Zongwen, Sohail, Shaleeza·2023·International Journal of Environmental Research and Public Health
Cited by (139)
Items 101–139 of 139
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- Navigating the virtual frontier: challenges and solutions for ethical federated learning in metaverse healthcare in IndiaShashwata Sahu, Navonita Mallick · 2025 · Elsevier eBooks
- Privacy and profit: the dual benefits of federated learning in metaverse healthcare systemsManas Kumar Yogi, Likhita Nam, Pavani Adina, Lolla Venkata Manaswini Rajeswari · 2025 · Elsevier eBooks
- The metaverse shift: adapting to decentralized computing in federated learning for healthcareManas Kumar Yogi, Mangadevi Atti · 2025 · Elsevier eBooks
- Federated Learning for Privacy-Preserving Seizure Detection in IoT-Cloud NetworksB. Bala Abirami, G. Umarani Srikanth, Swagatha J P · 2025 · International Conference on Sustainable Communication Networks and Application (ICSCNA)
- Ethical AI for Sustainable Brand TrustMd Adnan Rahman, Md Mahdi Hasan Ahid, Zerin Tasnim, Abid Aziz, Sharmin Jahan, Abd Elahi Hamid · 2025 · IGI Global eBooks
- An Adaptive Communication Efficient Federated Learning Framework for Edge Intelligence under Resource and Privacy ConstraintsPushpendra Kumar Sikarwal, Snehal Dipak Raskar, Mukesh Kumar Gupta, Adamya Gupta, Mukesh Kumar Bhardwaj, Amit Tiwari · 2025 · International Conference on Computing, Communication and Automation
- Enhancing Data Privacy in IoT-Enabled Healthcare Systems through Federated Learning and Secure Data FusionIsmail Almsallati, H. M. Singh · 2025 · International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF)
- Edge-Intelligent Block Chain Framework for Federated Privacy-Preserving Medical DiagnosticsR.Tamilamuthan, S. Shobana, K. Kotteswari, V Suresh Kumar, B. T. Geetha, Murugan Lakshmanan · 2025 · International Conference on NexGen Networks and Cybernetics (IC2NC)
- Embedded Privacy-Aware Transformer With Sparse Attention for Consumer Health MonitoringBrij Bhooshan Gupta, Varsha Arya, Kostas E. Psannis, Wadee Alhalabi, Hind Alsharif, Shahab S. Band, Jinsong Wu · 2026 · IEEE Transactions on Consumer Electronics
- A Game-Theoretic and AI Approach to Secure and Intelligent Hospital at Home MonitoringDesiree Rivers, Qian Chen · 2025 · Annual Computer Security Applications Conference Workshops (ACSAC Workshops)
- AI-Driven Cybersecurity for Detecting Organ Trafficking NetworksChinmayee Vijaykumar Mali, Gitanjali R. Shinde, Grishma Bobhate, Sonal Fatangare, Prashant Dhotre, Piyush P. Gawali · 2026 · IGI Global eBooks
- AI Beyond the VeilD. Kalpanadevi · 2026
- A Comprehensive Federated Framework for Privacy Preserving Techniques in Sensitive Data ApplicationsRahul Raj D, G.R. Karpagam · 2026 · International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS)
- Privacy-Preserving Collaborative Learning Across Healthcare Institutions: An Adaptive Approach with Gradient Compression and Dynamic Privacy Budget AllocationMingxuan Han · 2025 · International Conference on Computer Science and Management Technology (ICCSMT)
- Privacy-Preserving and Trustworthy AI Infrastructures for Digital CommerceAhmad Zulkifli Bin Idris, Weiling Tan, Kavitha Rajendran · 2026 · Journal of Global Trends in Social Science
- Privacy-Preserving AI-Based Glaucoma Referral Using Multi-centric Real-World Data: A Feasibility Study with Federated LearningFilipe Soares, Telmo Barbosa, João Barbosa‐Breda, Luís Abegão Pinto, Carlos Marques-Neves · 2026 · Communications in computer and information science
- Edge-Intelligent Blockchain Framework for Federated Privacy-Preserving Medical DiagnosticsM. Lakshmanan, Gaurav Vishnu Londhe, Sriramkumar R, Mude Nagarjuna Naik, Joshuva Arockia Dhanraj, Neeraj Jain, Shreyas Rajendra Hole · 2025 · IEEE International Conference on Recent Trends in Computing and Smart Mobility (RCSM)
- Advances in Blockchain-Enabled Deep Learning for Privacy-Preserving Chest X-Ray Diagnosis: Emerging Trends in Federated, Edge, and Explainable AIR. Sriramkumar, Joshuva Arockia Dhanraj, Mithaguru, Mude Nagarjuna Naik, M. Lakshmanan, R Rakshita · 2026 · Communications in computer and information science
- HeFLDPB: A Trustworthy Triple-Defence Architecture for Privacy-Preserving Collaborative Healthcare Fraud DetectionMadhuki Rajapakshe, Maruf Farhan, Usman Butt, Rejwan Bin Sulaiman · 2026 · Research Square
- Artificial Intelligence in Rare Diseases: Workflow-Integrated Precision Kidney CareCharat Thongprayoon, Francesco Pesce, Wisit Cheungpasitporn · 2026 · Clinics and Practice
- Large Language Models in Cardiovascular Health: Current Applications and Future DirectionsTeresa Jency Bala, Hirak Mondal, Anindya Nag, Pulak Kundu, Anupam Kumar Bairagi · 2026 · Information systems engineering and management
- The IoMT Security Trilemma: A Systematic Review of Privacy, Utility, and Resource Efficiency in Federated Edge LearningMahmoud Aziz Louati, Islem Kammoun, Samah Mansour · 2026 · IEEE International Conference on Secure IoT, Assured and Trusted Computing (SATC)
- Data Privacy, Security, and PHI ProtectionR. Felista Sugirtha Lizy · 2026 · Advances in computational intelligence and robotics book series
- Retracted: Adaptive Federated Learning and Causality-Aware Data Science for Explainable AI in Healthcare and Workforce Care EcosystemsShiza Arshad, Rahul Reddy Gouravaram, Nikhil Reddy Gaddam, Sindhura Nimmakayala, Bhukya Arun Kumar, Sivakoteswararao Katta · 2026 · International Conference on Inventive Research in Computing Applications (ICIRCA) · Retracted
- Fisher-guided selective homomorphic encryption for privacy-efficient federated fine-tuningShuanggen Liu, Congwen Chen, Xu An Wang, Dian YU, Rongjia Shi, Zhonghua Hu · 2026 · Journal of Systems Architecture
- Federated Learning in Smart HealthcareK.Anitha, R. Parthasarathy · 2026 · Advances in computational intelligence and robotics book series
- Enhanced Federated Learning Systems Enabling Secure, Privacy-Centric, and Distributed Model Training Across Cloud–Edge LayersSanjay Kumar, Dr. Sapna Bawankar · 2026 · International Conference on Computing Methodologies and Communication (ICCMC)
- A Privacy-Preserving Architecture Integrating Federated Learning and Digital Twins for Diabetes CareLuigi Fortino, Simone De Vita, Michelangelo Esposito, Christian Esposito · 2025 · IEEE International Conference on Advanced Healthcare Systems (ICAHS)
- Privacy-Preserving Federated OCT Retinal Disease Classification using a Hybrid Residual-Attention NetworkSwapnil Shetty, Reval Prabhu Puneeth · 2026 · International Conference on Inventive Computation and Information Technologies (ICICIT)
- Secure Federated Learning Framework for Healthcare: Balancing Patient Privacy with Predictive AccuracyAshraf Syed · 2026 · Lecture notes in networks and systems
- Privacy-preserving methodologies against privacy attacks on deep learning: a surveySubhasish Ghosh, Amit Kr Mandal · 2026 · Knowledge and Information Systems
- Cybersecurity in Big Data Analytics for Healthcare: A Bibliometric Analysis on Scopus Publications From 2020 to July 2025Md. Ahasanul Alam, Afsana Mimi, Md. Mominul Islam, Khadija Sharmin, Mohammad Rakibul Islam Bhuiyan · 2026 · SAGE Open
- CareLink: An AI-Driven Integrated Healthcare-HR Platform for Coordinated Management of Learning Disorders and Workplace SupportJMLU Jayasekara, Nirosha Wedasinghe · 2026 · Moratuwa Engineering Research Conference (MERCon)
- Data Trust Governance and Federated Learning in Healthcare: Contractual Mechanisms and Regulatory Compliance in Privacy-Preserving Data EcosystemsSajad Zaid Abdui Hadi, Hussein Ali A. Algashamy · 2026 · Communications in computer and information science
- PRIVACY-PRESERVING FEDERATED DEEP LEARNING FOR ROBUST MEDICAL IMAGE SEGMENTATION ACROSS MULTI-INSTITUTIONAL CLINICAL DATASETSAhmad Pitra Jumli · 2025 · Qubahan Journal of Medical Sciences
- PRIVACY-PRESERVING FEDERATED DEEP LEARNING FOR ROBUST MEDICAL IMAGE SEGMENTATION ACROSS MULTI-INSTITUTIONAL CLINICAL DATASETSGulmira Baenova, Ahmad Pitra Jumli · 2025 · Qubahan Journal of Medical Sciences
- Neurocognitive Digital Shadow SystemsShilpa Aarthi, R. N. Ravikumar · 2026 · Advances in computational intelligence and robotics book series
- VFedHeal: heterogeneity-aware vertical federated learning with dynamic privacy scheduling for personalized healthcare sensingJiahao Fu, Yifan Li, Hang Zhang, Shimeng Zhu, X D Chen, Jun Wang, Hongjie Li, Renyan Lu · 2026 · Engineering Research Express