Federated Learning for IoT: Applications, Trends, Taxonomy, Challenges, Current Solutions, and Future Directions

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Federated Learning in Smart Healthcare: A Comprehensive Review on Privacy, Security, and Predictive Analytics with IoT Integration

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Energy, Scalability, Data, and Security in Massive IoT: Current Landscape and Future Directions

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Survey of Multimodal Federated Learning: Exploring Data Integration, Challenges, and Future Directions

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Advanced Fault Detection and Diagnosis Exploiting Machine Learning and Artificial Intelligence for Engineering Applications

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Synergizing Intelligence and Privacy: A Review of Integrating Internet of Things, Large Language Models, and Federated Learning in Advanced Networked Systems

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Priority-Aware SDN Orchestration for Surgical IoMT: A Joint Optimization of Hit Ratio and Latency With Dynamic Resource Reallocation

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Socio-Organisational Challenges and Impacts of IoT: A Review in Healthcare and Banking

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A Federated Learning Architecture for Bird Species Classification in Wetlands

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Privacy and security for 6G networks via Fog/Edge Computing, Blockchain, and Federated Learning: A survey and taxonomy

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Securing IoT Big Data With Byzantine-Resilient and Differential Privacy Ensemble Federated Distillation-BR-DP-FedDF

Suvathika, K., Gomathi, N., Hussain, S. S., & Reddy, K. (2025) · doi:10.1109/iccds64403.2025.11209672 · Cited by 2

Federated learning for sustainable IoT: Decentralized intelligence and energy-efficient applications

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Privacy‐Aware Federated Recommender Systems for IoT Healthcare: A Review of Computational Methods, Multimodality, and Optimization for Real‐Time Personalization

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Decentralized cybersecurity in smart grids: Leveraging location-fedavg for rapid threat detection and adaptive resilience

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Hybrid Transformer and XGBoost Model for Federated IoT Intrusion Detection

Muthuswamy, H. N., Suthagar, M. S., & Natarajan, V. (2026) · IEEE International Conference on AI in Cybersecurity (ICAIC) · doi:10.1109/icaic67076.2026.11395795 · Cited by 1

Memory-augmented spatio-temporal graph networks for federated cross-domain remaining useful life prediction

Ma, W., Xia, T., Si, W., Cheng, X., Xu, Y., & Xi, L. (2026) · Advanced Engineering Informatics · doi:10.1016/j.aei.2026.105115 · Cited by 1

A Federated Gnn-Based Solution for Privacy-Aware Internet of Things (Iot) Intrusion DetectionPreprint

Boukdir, A. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5384676

Federated Broad Learning for Uncrewed Aerial Vehicle Clusters in Water Monitoring

Lin, Y., Yuan, X., Du, H., Ding, H., Deng, Q., & Leung, V. C. M. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3603913 · Cited by 1

Enhancing Federated Learning in Massive IoT via Contention Resolution Diversity Slotted ALOHA

Dagostim, D., Farhat, J., & Souza, R. D. (2025) · Workshop on Communication Networks and Power Systems (WCNPS) · doi:10.1109/wcnps69127.2025.11295873

Lifelong Federated Learning with Dynamic Regularization for Concept Drift Resilience in Energy-Harvesting WSNsPreprint

Vijayakumar, K., Ezhilvendan, M., Rekha, V., & Joshi, A. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6066932

Task-Oriented Communications for Agentic IoT: An LLM-Driven QoS/Security Policy Generation via Dynamic Model Context Protocol

Guo, S., Zhu, J., Ye, J., Zhang, A., & Min, G. (2025) · International Conference on Wireless Communications and Signal Processing (WCSP) · doi:10.1109/wcsp68525.2025.1010287

Federated learning with adaptively sparsified and recoverable perturbation for internet of things

Birhanu, H., & Takele, A. K. (2026) · Discover Internet of Things · doi:10.1007/s43926-026-00294-x

Federated Learning and its Uses in Modern Medical Industry: Concepts and Challenges

Sivashankar, G., Sawhney, S., Goel, I., Ashokkumar, P., Vandhana, S., & K.Babu (2025) · International Conference on Electronics, Communication and Aerospace Technology (ICECA) · doi:10.1109/iceca66444.2025.11383312

Enriching Security in Federated Learning and IoT - A Systematic Review

Ms. Divya, C., & Simpson, S. V. (2026) · International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) · doi:10.1109/iitcee67948.2026.11394432

An aggregation algorithm to handle data temporal dependence in Federated Learning

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FedSSV: Client Contribution for Secure Federated Learning Aggregation Using Scaled Shapley Values

Sani, S. D., Olapojoye, R., Salman, T., Ji, T., & Teixeira, M. A. (2026) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2026.3674950 · Cited by 1

Research on Knowledge Stickiness and Bargaining Power Evolution in Distributed Innovation of Electric Power Enterprises Based on the LSSVM–Copula– Bayesian Framework

Gao, X. (2025) · International Conference on Energy Technology and Electrical Power (ETEP) · doi:10.1109/etep67941.2025.11440574

FEDL: Algorithmic Co-design of Federated and Continual Learning for Resource-Constrained Non-Stationary EnvironmentsPreprint

Vijayakumar, K., & Thirumaraiselvan, P. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6473762

Asymmetric Hierarchical Federated Learning for Vehicular Edge Intelligence: A Knowledge-Gradient Dual Flow Approach

Li, Z., & Guan, S. (2026) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2026.3681623

Federated Attention‑Capsule CNN with Bio‑Optimization for Coronary Artery Disease Screening

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Multimodal machine learning in the AEC industry: a lifecycle-aligned review of strategies, challenges, and informatics frameworks

Ahmed, A. H., & Mohsen, O. (2026) · Advanced Engineering Informatics · doi:10.1016/j.aei.2026.104863

Federated Learning Approach for Bitcoin Price Prediction

Singh, A., Kaur, G., & Vashisth, A. (2026) · International Conference on Signal, Systems, and Computing for Next-Gen Automation (ICSSCNA) · doi:10.1109/icsscna68616.2026.11547026

Foundation Model-Augmented Split Federated Learning with Graph Transformer-Based Digital Twin for Self-Healing Industrial IoT Systems

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BioMutFed+: Mutation-Driven Federated Learning for IIoT

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A Unified Federated Framework for Trust Management and Privacy-Preserving Anomaly Detection in Zero Trust Edge Networks

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Distributed MAC scheduling in IEEE 802.15.7-oriented VLC networks via federated deep reinforcement learning

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A Fog-Enabled Architecture for Securing Hierarchical Federated Learning from Data Poisoning

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Federated Edge Intelligence for Privacy-Preserving IoT-Based Smart Banking Systems: Architectures, Security, and Experimental Challenges

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Decentralized Machine Learning in Healthcare: Federated Learning for IoMT and Beyond

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Federated learning for task offloading optimization: a systematic review in edge computing environments

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A Review of Resource Allocation Strategies for Federated Learning in Wireless Networks

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Significance-Aware Federated Reinforcement Learning for AoI Optimization of Vehicular Sensing in UAV-Assisted Edge Networks

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FLChain: Federated Learning and Blockchain for CNC Machine Health

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A Comprehensive Review of Federated Learning for Green 6G-IIoT Ecosystems

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A novel federated learning approach for enhancing QoS and scalability in IoT networks

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Enhancing Privacy and Efficiency in IoT through Federated Learning

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The Synergy of Federated Learning and IoT: Pioneering Privacy and Efficiency in Decentralised Systems

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Federated Learning for Internet of Things

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Federated Learning on Internet of Things: Extensive and Systematic Review

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Federated Learning for IoT: A Survey of Techniques, Challenges, and Applications

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