FedHome: Cloud-Edge Based Personalized Federated Learning for In-Home Health Monitoring

ImageNet classification with deep convolutional neural networks

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Securing 5G/6G IoT Using Transformer and Personalized Federated Learning: An Access-Side Distributed Malicious Traffic Detection Framework

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FedRFQ: Prototype-Based Federated Learning With Reduced Redundancy, Minimal Failure, and Enhanced Quality

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A Lightweight Neural Network Model for Disease Risk Prediction in Edge Intelligent Computing Architecture

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Application Status, Challenges, and Development Prospects of Smart Technologies in Home-Based Elder Care

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Federated Learning: Issues in Medical Application

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BBNet: A Novel Convolutional Neural Network Structure in Edge-Cloud Collaborative Inference

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FedAWR: An Interactive Federated Active Learning Framework for Air Writing Recognition

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Analyzing the Impact of Personalization on Fairness in Federated Learning for Healthcare

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SHFL: K-Anonymity-Based Secure Hierarchical Federated Learning Framework for Smart Healthcare Systems

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A Two-Stage Differential Privacy Scheme for Federated Learning Based on Edge Intelligence

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Federated learning for rare disease detection: a survey

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Co-Training-Based Personalized Federated Learning With Generative Adversarial Networks for Enhanced Mobile Smart Healthcare Diagnosis

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Cyber threats in mobile healthcare applications: systematic review of enabling technologies, threat models, detection approaches, and future directions

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SLMFed: A Stage-Based and Layerwise Mechanism for Incremental Federated Learning to Assist Dynamic and Ubiquitous IoT

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Federated semi-supervised representation augmentation with cross-institutional knowledge transfer for healthcare collaboration

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SA-FLIDS: secure and authenticated federated learning-based intelligent network intrusion detection system for smart healthcare

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Anti-Jamming Strategy for Federated Learning in Internet of Medical Things: A Game Approach

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SlaugFL: Efficient Edge Federated Learning With Selective GAN-Based Data Augmentation

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Secure and Efficient Federated Learning Schemes for Healthcare Systems

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Backdoor attacks and defense mechanisms in federated learning: A survey

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ARFL: Adaptive and Robust Federated Learning

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FLASH-RL: Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning

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Motion Tracking of Daily Living and Physical Activities in Health Care: Systematic Review From Designers’ Perspective

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FeL-MAR: Federated learning based multi resident activity recognition in IoT enabled smart homes

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FedGen: Personalized federated learning with data generation for enhanced model customization and class imbalance

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Meta-XPFL: An Explainable and Personalized Federated Meta-Learning Framework for Privacy-Aware IoMT

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Internet of Things for Healthcare: An Intelligent and Energy Efficient Position Detection Algorithm

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Personalized Semi-Supervised Federated Learning for Human Activity RecognitionPreprint

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Challenges and Trends in Federated Learning for Well-being and Healthcare

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Semi-Asynchronous Hierarchical Federated Learning Over Mobile Edge Networks

Chen, Q., You, Z., Wu, J., Liu, Y., & Jiang, H. (2022) · IEEE Access · doi:10.1109/access.2022.3227561 · Cited by 16

Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey

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TactiFlex: A Federated learning-enhanced in-content aware resource allocation flexible architecture for Tactile IoT in 6G networks

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Challenges for AI in Healthcare Systems

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PHiFL-TL: Personalized hierarchical federated learning using transfer learning

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Radar-Based Activity Recognition in Strictly Privacy-Sensitive Settings Through Deep Feature Learning

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Neurological disease prediction using impaired gait analysis for foot position in cerebellar ataxia by ensemble approach

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Hybrid deep learning for IoT-based health monitoring with physiological event extraction

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Edge-to-cloud computing and intelligence for IoT-based Structural Health Monitoring: A comprehensive review

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IoTSL: Toward Efficient Distributed Learning for Resource-Constrained Internet of Things

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On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning

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Totoro: A Scalable Federated Learning Engine for the Edge

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Graph-Based Joint Client Clustering and Resource Allocation for Wireless Distributed Learning: A New Hierarchical Federated Learning Framework With Non-IID Data

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Integration of Federated Learning and AI-Generated Content: A Survey of Overview, Opportunities, Challenges, and Solutions

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On the Design of Communication-Efficient Federated Learning for Health Monitoring

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Edge Intelligence-based Privacy Protection Framework for IoT-based Smart Healthcare Systems

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A review of IoT architectures in smart healthcare applications

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Rebirth of Distributed AI—A Review of eHealth Research

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Quantum federated learning in healthcare: The shift from development to deployment and from models to dataPreprint

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Systematic review on privacy-preserving machine learning techniques for healthcare data

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Wellness Detection Using Clustered Federated Learning

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Assessment of patients with Parkinson’s disease based on federated learning

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Hydra: Hybrid-model federated learning for human activity recognition on heterogeneous devices

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Enhancing healthcare services through cloud service: a systematic review

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Optimal intelligent edge‐servers placement in the healthcare field

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Federated learning for digital healthcare: concepts, applications, frameworks, and challenges

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Privacy-Preserving Knowledge Distillation in Latency-Critical Federated Task Offloading for Consumer IoT Networks

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Distributed Learning in Healthcare

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A Multimodal Contrastive Federated Learning for Digital Healthcare

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VAP: Online Data Valuation and Pricing for Machine Learning Models in Mobile Health

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Privacy-Preserving Computing in the Healthcare Using Federated Learning

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A transferable federated learning approach for wind power prediction based on active privacy clustering and knowledge merge

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susFL: Federated Learning-based Monitoring for Sustainable, Attack-Resistant Smart Farms

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Federated learning frameworks in smart e-healthcare: A systematic literature review with bias evaluation

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Robust two stages federated learning for sensor based human activity recognition with label noise

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Efficient Multi-Layer Stochastic Gradient Descent Algorithm for Federated Learning in E-health

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A comparison between centralized and asynchronous federated learning approaches for survival outcome prediction using clinical and PET data from non-small cell lung cancer patients

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Federated Learning for Commercial Image Sources

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Secure and Accurate Personalized Federated Learning With Similarity-Based Model Aggregation

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Blockchain controlled trustworthy federated learning platform for smart homes

Biswas, S., Sharif, K., Latif, Z., Alenazi, M. J. F., Pradhan, A. K., & Bairagi, A. K. (2024) · IET Communications · doi:10.1049/cmu2.12870 · Cited by 9

Private and heterogeneous personalized hierarchical federated learning using Conditional Generative Adversarial networks

Afzali, A., & Shamsinejadbabaki, P. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.127003 · Cited by 9

A personalized federated learning-based glucose prediction algorithm for high-risk glycemic excursion regions in type 1 diabetes

Dave, D., Vyas, K., Jayagopal, J. K., Garcia, A., Erraguntla, M., & Lawley, M. (2025) · Scientific Reports · doi:10.1038/s41598-025-22316-4 · Cited by 16

Personalized Federated Human Activity Recognition through Semi-supervised Learning and Enhanced Representation

Gao, L., & Konomi, S. (2023) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/3594739.3610739 · Cited by 11

Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection

Yuan, L., Han, D.-J., Wang, S., Upadhyay, D., & Brinton, C. G. (2026) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2026.3673697 · Cited by 9

Meta In-Context Learning: Harnessing Large Language Models for Electrical Data Classification

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FedRH: Federated Learning Based Remote Healthcare

Sachin, D. N., Annappa, B., & Ambesenge, S. (2023) · IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS) · doi:10.1109/icbds58040.2023.10346556 · Cited by 8

FedRx: Federated Distillation-Based Solution for Preventing Hospitals Overcrowding During Seasonal Diseases Using MEC

Sahraoui, Y., Kerrache, C. A., Calafate, C. T., & Manzoni, P. (2024) · IEEE Consumer Communications and Networking Conference · doi:10.1109/ccnc51664.2024.10454641 · Cited by 8

Federated Learning for Internet of Medical Healthcare: Issues and Challenges

Chelani, N. R., Tripathy, S., Kumhar, M., Bhatia, J., Saxena, V. P., Tanwar, S., & Nayyar, A. (2024) · Scalable Computing Practice and Experience · doi:10.12694/scpe.v25i5.2905 · Cited by 8

PSA-FL-CDM: A Novel Federated Learning-Based Consensus Model for Post-Stroke Assessment

Razfar, N., Kashef, R. F., & Mohammadi, F. A. (2024) · Sensors · doi:10.3390/s24165095 · Cited by 8

A survey of joint security-safety for function, information and human in industry 5.0

Hong, Y., Wu, J., & Guan, X. (2024) · Security and Safety · doi:10.1051/sands/2024014 · Cited by 12

Healthcare federated learning: a survey of applications and frameworks

Pais, V., Rao, S., & Muniyal, B. (2025) · International Journal of Computers and Applications · doi:10.1080/1206212x.2025.2496913 · Cited by 9

SplitLLM: Hierarchical Split Learning for Large Language Model over Wireless Network

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FediOS: decoupling orthogonal subspaces for personalization in feature-skew federated learning

Gao, L., Li, Z., Shang, X., Lu, Y., & Wu, C. (2025) · Machine Learning · doi:10.1007/s10994-025-06861-7 · Cited by 8

Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review

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Federated Learning and 5G/6G‐Based Internet of Medical Things (IoMT): Applications, Key Enabling Technologies, Open Issues and Future Research Directions

Ahad, A., Ahmed, K. I., Ullah, F., Sheikh, M. A., Tahir, M., Hayajneh, M., & Pires, I. M. (2026) · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · doi:10.1002/widm.70065 · Cited by 9

A Blockchain-Based Federated Learning for Smart Homes

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A lightweight and privacy preserved federated learning ecosystem for analyzing verbal communication emotions in identical and non-identical databases

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Optimizing Patient Recruitment for Clinical Trials: A Hybrid Classification Model and Game-Theoretic Approach for Strategic Interaction

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Federated Transfer Learning for Vision-Based Fall Detection

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SynFlowFL: A Dynamic Synaptic Flow Framework for Efficient, Personalized Federated Learning

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Collaborative Learning of Different Types of Healthcare Data From Heterogeneous IoT Devices

Zhao, L., Cai, L., & Lu, W.-S. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3307675 · Cited by 7

FeDeFo: A Personalized Federated Deep Forest Framework for Alzheimer’s Disease Diagnosis

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Smart client selection strategies for enhanced federated learning in digital healthcare applications

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REC-Fed: A Robust and Efficient Clustered Federated System for Dynamic Edge Networks

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