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Federated learning‐based IoT: A systematic literature review

https://doi.org/10.1002/dac.5185
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/dac.5049openalex-snapshot
Energy‐efficient fog computing in Internet of Things based on Routing Protocol for Low‐Power and Lossy Network with Contiki
inferredcites →https://doi.org/10.1002/ett.4114openalex-snapshot
A novel approach for securing data against intrusion attacks in unmanned aerial vehicles integrated heterogeneous network using functional encryption technique
inferredcites →https://doi.org/10.1002/ett.4123openalex-snapshot
Unmanned aerial vehicles integrated HetNet for smart dense urban area
inferredcites →https://doi.org/10.1002/ett.4133openalex-snapshot
A survey on recent optimal techniques for securing unmanned aerial vehicles applications
inferredcites →https://doi.org/10.1007/978-3-030-70604-3openalex-snapshot
Federated Learning Systems
inferredcites →https://doi.org/10.1007/978-3-030-70604-3_2openalex-snapshot
A Review of Privacy-Preserving Federated Learning for the Internet-of-Things
inferredcites →https://doi.org/10.1016/j.comnet.2021.108122openalex-snapshot
Efficient and flexible management for industrial Internet of Things: A federated learning approach
inferredcites →https://doi.org/10.1016/j.comnet.2021.108327openalex-snapshot
Federated deep reinforcement learning based secure data sharing for Internet of Things
inferredcites →https://doi.org/10.1016/j.comnet.2021.108693openalex-snapshot
Federated learning for malware detection in IoT devices
inferredcites →https://doi.org/10.1016/j.cose.2021.102199openalex-snapshot
Privacy-preserving and communication-efficient federated learning in Internet of Things
inferredcites →https://doi.org/10.1016/j.cose.2021.102355openalex-snapshot
Integration of blockchain and federated learning for Internet of Things: Recent advances and future challenges
inferredcites →https://doi.org/10.1016/j.cose.2021.102393openalex-snapshot
Integration of federated machine learning and blockchain for the provision of secure big data analytics for Internet of Things
inferredcites →https://doi.org/10.1016/j.dcan.2021.04.001openalex-snapshot
Towards asynchronous federated learning for heterogeneous edge-powered internet of things
inferredcites →https://doi.org/10.1016/j.envres.2019.108770openalex-snapshot
Earth fissure hazard prediction using machine learning models
inferredcites →https://doi.org/10.1016/j.future.2021.11.028openalex-snapshot
A framework for privacy-preservation of IoT healthcare data using Federated Learning and blockchain technology
inferredcites →https://doi.org/10.1016/j.phycom.2021.101381openalex-snapshot
Battery-constrained federated edge learning in UAV-enabled IoT for B5G/6G networks
inferredcites →https://doi.org/10.1016/j.sysarc.2022.102418openalex-snapshot
Hybrid differential privacy based federated learning for Internet of Things
inferredcites →https://doi.org/10.1017/dmp.2018.19openalex-snapshot
Tethered Balloon Technology in Design Solutions for Rescue and Relief Team Emergency Communication Services
inferredcites →https://doi.org/10.1080/19942060.2018.1526119openalex-snapshot
Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network
inferredcites →https://doi.org/10.1080/19942060.2019.1627676openalex-snapshot
Flutter speed estimation using presented differential quadrature method formulation
inferredcites →https://doi.org/10.1080/19942060.2020.1773932openalex-snapshot
Prediction of significant wave height; comparison between nested grid numerical model, and machine learning models of artificial neural networks, extreme learning and support vector machines
inferredcites →https://doi.org/10.1109/access.2019.2919736openalex-snapshot
Federated Learning-Based Computation Offloading Optimization in Edge Computing-Supported Internet of Things
inferredcites →https://doi.org/10.1109/access.2020.3015966openalex-snapshot
Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis
inferredcites →https://doi.org/10.1109/access.2020.3023940openalex-snapshot
Resource Optimized Federated Learning-Enabled Cognitive Internet of Things for Smart Industries
inferredcites →https://doi.org/10.1109/access.2020.3037474openalex-snapshot
Secure and Provenance Enhanced Internet of Health Things Framework: A Blockchain Managed Federated Learning Approach
inferredcites →https://doi.org/10.1109/access.2021.3063291openalex-snapshot
Accelerating Federated Learning for IoT in Big Data Analytics With Pruning, Quantization and Selective Updating
inferredcites →https://doi.org/10.1109/access.2021.3107337openalex-snapshot
An Ensemble Multi-View Federated Learning Intrusion Detection for IoT
inferredcites →https://doi.org/10.1109/comst.2021.3090430openalex-snapshot
Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges
inferredcites →https://doi.org/10.1109/csci49370.2019.00218openalex-snapshot
Distributed Sensing Using Smart End-User Devices: Pathway to Federated Learning for Autonomous IoT
inferredcites →https://doi.org/10.1109/iccworkshops53468.2022.9814690openalex-snapshot
Energy Efficient Distributed Learning in Integrated Fog-Cloud Computing Enabled IoT Networks
inferredcites →https://doi.org/10.1109/jiot.2019.2956615openalex-snapshot
Communication-Efficient Federated Learning for Wireless Edge Intelligence in IoT
inferredcites →https://doi.org/10.1109/jiot.2020.2964162openalex-snapshot
Federated Learning With Cooperating Devices: A Consensus Approach for Massive IoT Networks
inferredcites →https://doi.org/10.1109/jiot.2020.2994596openalex-snapshot
Toward Communication-Efficient Federated Learning in the Internet of Things With Edge Computing
inferredcites →https://doi.org/10.1109/jiot.2020.3007662openalex-snapshot
Realizing the Heterogeneity: A Self-Organized Federated Learning Framework for IoT
inferredcites →https://doi.org/10.1109/jiot.2020.3017377openalex-snapshot
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices
inferredcites →https://doi.org/10.1109/jiot.2020.3022534openalex-snapshot
Efficient Federated Learning Algorithm for Resource Allocation in Wireless IoT Networks
inferredcites →https://doi.org/10.1109/jiot.2020.3022590openalex-snapshot
Enhancing Federated Learning in Fog-Aided IoT by CPU Frequency and Wireless Power Control
inferredcites →https://doi.org/10.1109/jiot.2020.3028742openalex-snapshot
FedMCCS: Multicriteria Client Selection Model for Optimal IoT Federated Learning
inferredcites →https://doi.org/10.1109/jiot.2020.3036157openalex-snapshot
Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning
inferredcites →https://doi.org/10.1109/jiot.2020.3046509openalex-snapshot
FogFL: Fog-Assisted Federated Learning for Resource-Constrained IoT Devices
inferredcites →https://doi.org/10.1109/jiot.2021.3077803openalex-snapshot
Federated-Learning-Based Anomaly Detection for IoT Security Attacks
inferredcites →https://doi.org/10.1109/jiot.2022.3145360openalex-snapshot
HeteFL: Network-Aware Federated Learning Optimization in Heterogeneous MEC-Enabled Internet of Things
inferredcites →https://doi.org/10.1109/mnet.001.2100253openalex-snapshot
Decentralized Federated Learning for UAV Networks: Architecture, Challenges, and Opportunities
inferredcites →https://doi.org/10.1109/ojcs.2020.2992630openalex-snapshot
Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues
inferredcites →https://doi.org/10.1109/ojcs.2020.2993259openalex-snapshot
Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge Based Framework
inferredcites →https://doi.org/10.1109/srds51746.2020.00017openalex-snapshot
End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things
inferredcites →https://doi.org/10.1109/tetci.2022.3146871openalex-snapshot
Heterogeneous Semi-Asynchronous Federated Learning in Internet of Things: A Multi-Armed Bandit Approach
inferredcites →https://doi.org/10.1109/tgcn.2021.3132561openalex-snapshot
Drones’ Edge Intelligence Over Smart Environments in B5G: Blockchain and Federated Learning Synergy
inferredcites →https://doi.org/10.1109/tii.2019.2942190openalex-snapshot
Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT
inferredcites →https://doi.org/10.1109/tii.2022.3149902openalex-snapshot
SecureIIoT Environment: Federated Learning Empowered Approach for Securing IIoT From Data Breach
inferredcites →https://doi.org/10.1109/tits.2021.3056341openalex-snapshot
Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach
inferredcites →https://doi.org/10.1109/tnse.2021.3074185openalex-snapshot
A Privacy-Preserving Federated Learning for Multiparty Data Sharing in Social IoTs
inferredcites →https://doi.org/10.1145/3428152openalex-snapshot
Privacy-preserving Federated Deep Learning for Wearable IoT-based Biomedical Monitoring
inferredcites →https://doi.org/10.1177/1550147720919698openalex-snapshot
IFed: A novel federated learning framework for local differential privacy in Power Internet of Things
inferredcites →https://doi.org/10.14722/diss.2020.23003openalex-snapshot
Poisoning Attacks on Federated Learning-based IoT Intrusion Detection System
inferredcites →https://doi.org/10.1504/ijvics.2020.110995openalex-snapshot
Collaboration of UAV and HetNet for better QoS: a comparative study
inferredcites →https://doi.org/10.3390/atmos11010066openalex-snapshot
Modeling Pan Evaporation Using Gaussian Process Regression K-Nearest Neighbors Random Forest and Support Vector Machines; Comparative Analysis
inferredcites →https://doi.org/10.3390/drones3010013openalex-snapshot
Collaboration of Drone and Internet of Public Safety Things in Smart Cities: An Overview of QoS and Network Performance Optimization
inferredcites →https://doi.org/10.3390/rs12213568openalex-snapshot
Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms
inferredcites →https://doi.org/10.3390/s21010167openalex-snapshot
Open-Source Federated Learning Frameworks for IoT: A Comparative Review and Analysis
inferredcites →https://doi.org/10.3390/w11030582openalex-snapshot
Estimating Daily Dew Point Temperature Using Machine Learning Algorithms

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/9781394219230.ch1openalex-snapshot
Fundamentals of Edge AI and Federated Learning
inferred← citeshttps://doi.org/10.1002/cpe.7875openalex-snapshot
A taxonomy and survey of big data in social media
inferred← citeshttps://doi.org/10.1002/spy2.317openalex-snapshot
Blockchain‐based internet of vehicles ( BIoV ): A systematic review of surveys and reviews
inferred← citeshttps://doi.org/10.1007/978-981-96-0096-0_12openalex-snapshot
Research on Federated Learning Data-Sharing Mechanism Based on Communication Protocols
inferred← citeshttps://doi.org/10.1007/s00521-024-09723-wopenalex-snapshot
Edge artificial intelligence for big data: a systematic review
inferred← citeshttps://doi.org/10.1007/s10586-023-04235-zopenalex-snapshot
Federated learning analysis for vehicular traffic flow prediction: evaluation of learning algorithms and aggregation approaches
inferred← citeshttps://doi.org/10.1007/s11227-025-07006-2openalex-snapshot
Privacy-preserved federated clustering with Non-IID data via GANs
inferred← citeshttps://doi.org/10.1007/s12065-024-00949-0openalex-snapshot
Deep learning applications in the Internet of Things: a review, tools, and future directions
inferred← citeshttps://doi.org/10.1007/s12083-025-02183-6openalex-snapshot
Toward a unified computing paradigm: a survey and roadmap for data management in integrated IoT, fog, and cloud services
inferred← citeshttps://doi.org/10.1016/j.iot.2025.101785openalex-snapshot
FGLIoT: IoT device identification via federated graph learning and spatio-temporal feature fusion
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113560openalex-snapshot
Adaptive aggregation for federated learning using representation ability based on feature alignment
inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106754openalex-snapshot
Federated learning via multi-attention guided UNet for thyroid nodule segmentation of ultrasound images
inferred← citeshttps://doi.org/10.1109/access.2025.3574672openalex-snapshot
Systematic Analysis of Federated Learning Approaches for Intrusion Detection in the Internet of Things Environment
inferred← citeshttps://doi.org/10.1109/dchpc69296.2026.11517260openalex-snapshot
FedAdaptQ: Adaptive Communication-Efficient Federated Learning for IoT and Edge Devices
inferred← citeshttps://doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics62450.2024.00072openalex-snapshot
Privacy Threats and Countermeasures in Federated Learning for Internet of Things: A Systematic Review
inferred← citeshttps://doi.org/10.1145/3593434.3593438openalex-snapshot
A Systematic Literature Review on Client Selection in Federated Learning
inferred← citeshttps://doi.org/10.21203/rs.3.rs-8859031/v1openalex-snapshot
Large Language and Generative Foundation Models for Cloud-Enabled Medical Imaging and Internet of Medical Things: A PRISMA Systematic Review of Architectures, Security, and Deployment
inferred← citeshttps://doi.org/10.2139/ssrn.6955451openalex-snapshot
Federated Learning in Smart Healthcare, Homes, and Cities (FL-SHHC): A Systematic Literature Review
inferred← citeshttps://doi.org/10.31763/iota.v1i4.505openalex-snapshot
Student Presence System and Its Development to the Internet of Things A Literature Review
inferred← citeshttps://doi.org/10.32604/cmc.2023.034329openalex-snapshot
An Optimal Algorithm for Resource Allocation in D2D Communication
inferred← citeshttps://doi.org/10.3390/eng7090485openalex-snapshot
Federated Learning in Smart Healthcare, Homes, and Cities (FL-SHHC): A Systematic Literature Review
inferred← citeshttps://doi.org/10.3390/fi15120403openalex-snapshot
Federated Learning for Intrusion Detection Systems in Internet of Vehicles: A General Taxonomy, Applications, and Future Directions
inferred← citeshttps://doi.org/10.3390/jcp5030041openalex-snapshot
A Systematic Review on Hybrid AI Models Integrating Machine Learning and Federated Learning
inferred← citeshttps://doi.org/10.4018/979-8-2600-1363-2.ch004openalex-snapshot
Federated Learning and Blockchain Integration for Privacy-Preserving Smart Classrooms
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