Federated Region-Learning: An Edge Computing Based Framework for Urban Environment Sensing

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Diagnosis of Interturn Short-Circuit Faults in Permanent Magnet Synchronous Motors Based on Few-Shot Learning Under a Federated Learning Framework

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Federated Learning-Based Misbehavior Detection for the 5G-Enabled Internet of Vehicles

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A Federated Learning-Based License Plate Recognition Scheme for 5G-Enabled Internet of Vehicles

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A Survey on federated learning

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A Review on Federated Learning and Machine Learning Approaches: Categorization, Application Areas, and Blockchain Technology

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Towards Federated Learning and Multi-Access Edge Computing for Air Quality Monitoring: Literature Review and Assessment

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Towards Integrated Air Pollution Monitoring and Health Impact Assessment Using Federated Learning: A Systematic Review

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Failure prediction in production line based on federated learning: an empirical study

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StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing

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Covert Communications in Air-Ground Integrated Urban Sensing Networks Enhanced by Federated Learning

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BC-EdgeFL: A Defensive Transmission Model Based on Blockchain-Assisted Reinforced Federated Learning in IIoT Environment

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Federated Region-Learning for Environment Sensing in Edge Computing System

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Federated Learning Systems: Architecture Alternatives

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A Comprehensive Overview of IoT-Based Federated Learning: Focusing on Client Selection Methods

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Evaluating the Potential of Federated Learning for Maize Leaf Disease Prediction

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Large-Scale Water Quality Prediction Using Federated Sensing and Learning: A Case Study with Real-World Sensing Big-Data

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Automatic Distributed Deep Learning Using Resource-Constrained Edge Devices

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A Systematic Literature Review on Federated Learning: From A Model Quality Perspective

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Joint Server Selection and Handover Design for Satellite-Based Federated Learning Using Mean-Field Evolutionary Approach

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Federated Multi-View Spectral Clustering

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FedClamp: An Algorithm for Identification of Anomalous Client in Federated Learning

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Applications of Federated Learning in Manufacturing: Identifying the Challenges and Exploring the Future Directions with Industry 4.0 and 5.0 Visions

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FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks

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Decision Trees in Federated Learning: Current State and Future Opportunities

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Exploring Lightweight Federated Learning for Distributed Load Forecasting

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Enabling efficient and low-effort decentralized federated learning with the EdgeFL framework

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Surveying federated learning approaches through a multi-criteria categorization

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Bridging data barriers among participants: Assessing the potential of geoenergy through federated learning

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A Comprehensive Review of Cryptographic Techniques in Federated Learning for Secure Data Sharing and Applications

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Engineering Federated Learning Systems: A Literature Review

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Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion

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Hierarchical Hybrid Networks for Automatic Pulmonary Blood Vessel Segmentation in Computed Tomography Images

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Tactile internet of federated things: Toward fine-grained design of FL-based architecture to meet TIoT demands

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Performance Evaluation of Federated Learning in Edge Computing Environment

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Collaborative Neural Architecture Search for Personalized Federated Learning

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Federated Learning Augmented Cybersecurity for SDN-Based Aeronautical Communication Network

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The Applicability of Federated Learning to Official Statistics

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Improved YOLOV3 Surveillance Device Object Detection Method Based on Federated Learning

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PPFL-IDS: Privacy-Preserving Federated Learning Based IDS Against Poisoning Attacks

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OASIS: Offsetting Active Reconstruction Attacks in Federated Learning

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AIGC-Enhanced Federated Learning: Addressing Data Scarcity in Preference-Based Scenarios

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Societal impacts and opportunities of federated learning

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Scaling Data Analysis Services in an Edge-based Federated Learning Environment

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Distributed cloud-edge analytics and machine learning for transportation emissions estimation

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Adaptive Federated Reinforcement Learning With Temporal Hybrid Deep Model for Consumer Internet of Vehicles Intrusion Detection

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A novel crowdsensing system architecture model and its implementation methods

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Federated Learning with Client Selection in Resource-Uncertain Wireless Networks: Simulation and Proof of Concept Experiments

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Overview of Federated Learning and Its Advantages

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Heterogeneity Aware Distributed Machine Learning at the Wireless Edge for Health IoT Applications: An EEG Data Case Study

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FSVNet: Federated Self-driving Vehicle Network based on decomposition global convergence

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Federated Learning-Based IDS Against Poisoning Attacks

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Federated Learning on Tamperproof Data for PHM on Marine Vessels Using a Docker Based Infrastructure

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Improving diverse federated learning through knowledge acquisition and fusion of multiple models

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Federated Cooperative Generalized Linear Model for Distributed Multimodal Data Analysis

Amini, M., Konyar, E., & Gahrooei, M. R. (2025) · IISE Transactions · doi:10.1080/24725854.2025.2511666

Addressing missing values and fragmented data to improve core and management processes in hospitals: a federated machine learning approach

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Incentive Mechanism Design in Satellite-Based Federated Learning Using Mean Field Evolutionary Approach

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Hyper-Local Air Quality Awareness for Distributed Agentic Traffic Signal Control

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Federated discretization for supervised classification

Flores, J. L., Calvo, B., & Pérez, A. (2026) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-026-01247-2

Federated Region-Learning for Environment Sensing in Edge Computing System

Gao, Y., Liu, L., Hu, B., Lei, T., & Ma, H. (2020) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2020.3016035 · Cited by 45 · see citing works

Communication-Efficient Federated Learning with Dual-Sided Sparse Aggregation for Edge Sensing Systems

He, Z., & Li, J. (2026) · Sensors · doi:10.3390/s26092885

Computation and communication efficient approach for federated learning based urban sensing applications against inference attacks

Kapoor, A., & Kumar, D. (2024) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2024.101875 · Cited by 6 · see citing works

Personalized Federated Learning over Edge-Cloud Collaborative Network for Intelligent Sensing Analysis

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Federated Compressed Learning Edge Computing Framework with Ensuring Data Privacy for PM2.5 Prediction in Smart City Sensing Applications

Putra, K. T., Chen, H., Prayitno, P., Ogiela, M. R., Chou, C., Weng, C., & Shae, Z. (2021) · Sensors · doi:10.3390/s21134586 · Cited by 53 · see citing works