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

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Federated Learning in Mobile Edge Networks: A Comprehensive Survey

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On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds

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Federated Learning with Non-IID Data

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A survey on federated learning

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Machine learning for medical imaging

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Privacy-Preserving Deep Learning via Additively Homomorphic Encryption

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An Empirical Study of Training Self-Supervised Vision Transformers

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Model-Contrastive Federated Learning

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A review of applications in federated learning

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Federated Learning for Internet of Things: A Comprehensive Survey

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A survey on security and privacy of federated learning

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6G and Beyond: The Future of Wireless Communications Systems

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Transformer in Transformer

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BEiT: BERT Pre-Training of Image Transformers

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Graph neural network for traffic forecasting: A survey

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Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints

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Federated Multi-Task LearningPreprint

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Federated Learning for Mobile Keyboard Prediction

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Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates

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Optimizing Federated Learning on Non-IID Data with Reinforcement Learning

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Client-Edge-Cloud Hierarchical Federated Learning

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In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning

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FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare

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FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

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Federated learning of predictive models from federated Electronic Health Records

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Incentive Mechanism for Reliable Federated Learning: A Joint Optimization Approach to Combining Reputation and Contract Theory

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Federated Learning over Wireless Networks: Optimization Model Design and Analysis

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LEAF: A Benchmark for Federated Settings

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Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges

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Blockchained On-Device Federated Learning

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Swarm Learning for decentralized and confidential clinical machine learning

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An Efficient Framework for Clustered Federated Learning

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A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond

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A Survey on Federated Learning for Resource-Constrained IoT Devices

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Deep Reinforcement Learning: An Overview

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Blockchain Empowered Asynchronous Federated Learning for Secure Data Sharing in Internet of Vehicles

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Ensemble Distillation for Robust Model Fusion in Federated LearningPreprint

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Federated Learning with Matched AveragingPreprint

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Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach

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Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues

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SecureBoost: A Lossless Federated Learning Framework

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Do Vision Transformers See Like Convolutional Neural Networks?

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A Comprehensive Survey of Privacy-preserving Federated Learning: A Taxonomy, Review, and Future Directions

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Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges

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Flower: A Friendly Federated Learning Research Framework

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Agnostic Federated LearningPreprint

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Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses for Federated Learning

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Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices

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Model Pruning Enables Efficient Federated Learning on Edge Devices

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Privacy-Preserving Federated Brain Tumour Segmentation

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Short-Term Prediction of Traffic Volume in Urban Arterials

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Federated Learning With Blockchain for Autonomous Vehicles: Analysis and Design Challenges

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Exploration in deep reinforcement learning: A survey

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FedML: A Research Library and Benchmark for Federated Machine LearningPreprint

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CMFL: Mitigating Communication Overhead for Federated Learning

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Communication-efficient edge ai: algorithms and systems

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Fair Resource Allocation in Federated Learning

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Model aggregation techniques in federated learning: A comprehensive survey

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A Survey of IoT-Enabled Cyberattacks: Assessing Attack Paths to Critical Infrastructures and Services

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Privacy-Preserving Ridge Regression on Hundreds of Millions of Records

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Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records

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Communication-Efficient Federated Learning for Wireless Edge Intelligence in IoT

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Green IoT and Edge AI as Key Technological Enablers for a Sustainable Digital Transition towards a Smart Circular Economy: An Industry 5.0 Use Case

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Federated Learning With Cooperating Devices: A Consensus Approach for Massive IoT Networks

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Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

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Hierarchical Federated Learning ACROSS Heterogeneous Cellular Networks

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Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge Based Framework

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Attack of the tails: Yes, you really can backdoor federated learning

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Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues

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A framework for privacy-preservation of IoT healthcare data using Federated Learning and blockchain technology

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HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous ClientsPreprint

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Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities

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Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge

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Distillation-based semi-supervised federated learning for communication-efficient collaborative training with non-IID private data

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A generic framework for privacy preserving deep learning

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Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning

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Expanding the Reach of Federated Learning by Reducing Client Resource Requirements

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Client Selection in Federated Learning: Principles, Challenges, and Opportunities

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Group Knowledge Transfer: Federated Learning of Large CNNs at the EdgePreprint

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Federated learning for smart cities: A comprehensive survey

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Edge Intelligence in Intelligent Transportation Systems: A Survey

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Toward Transformer-Based Object DetectionPreprint

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FLChain: A Blockchain for Auditable Federated Learning with Trust and Incentive

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A Fairness-aware Incentive Scheme for Federated Learning

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Cost-Effective Federated Learning Design

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Hierarchical Federated Learning With Social Context Clustering-Based Participant Selection for Internet of Medical Things Applications

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Federated Learning in Vehicular Networks

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Gossip Learning as a Decentralized Alternative to Federated Learning

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Green Internet of Things (GIoT): Applications, Practices, Awareness, and Challenges

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Practical Federated Gradient Boosting Decision Trees

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Federated Learning for Breast Density Classification: A Real-World Implementation

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Collaborative Fairness in Federated Learning

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FASTGNN: A Topological Information Protected Federated Learning Approach for Traffic Speed Forecasting

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Sustainability of Healthcare Data Analysis IoT-Based Systems Using Deep Federated Learning

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Communication and computation efficiency in Federated Learning: A survey

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Federated Learning with Class Imbalance Reduction

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Proof of Federated Learning: A Novel Energy-Recycling Consensus Algorithm

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FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning

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Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Systems

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Towards Building The Federatedgpt: Federated Instruction Tuning

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FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking

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Federated Transfer Reinforcement Learning for Autonomous Driving

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FedTP: Federated Learning by Transformer Personalization

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FedBERT : When Federated Learning Meets Pre-training

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The Policy Effect of the General Data Protection Regulation (GDPR) on the Digital Public Health Sector in the European Union: An Empirical Investigation

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FogFL: Fog-Assisted Federated Learning for Resource-Constrained IoT Devices

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Federated Transfer Learning for Bearing Fault Diagnosis With Discrepancy-Based Weighted Federated Averaging

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Federated Learning for Computationally Constrained Heterogeneous Devices: A Survey

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FedSoft: Soft Clustered Federated Learning with Proximal Local Updating

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BDFL: A Byzantine-Fault-Tolerance Decentralized Federated Learning Method for Autonomous Vehicle

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Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning

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Framework for Detecting Breast Cancer Risk Presence Using Deep Learning

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Blockchain-Based Federated Learning for Intelligent Control in Heavy Haul Railway

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On Demand Fog Federations for Horizontal Federated Learning in IoV

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FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning

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Does Knowledge Distillation Really Work?Preprint

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Decentralized federated learning for extended sensing in 6G connected vehicles

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FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models

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Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review

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Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better

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PPeFL: Privacy-Preserving Edge Federated Learning With Local Differential Privacy

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Exploring Deep-Reinforcement-Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT

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Federated Learning for Resource-Constrained IoT Devices: Panoramas and State of the Art

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Exploiting Unlabeled Data in Smart Cities using Federated Edge Learning

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Multicenter Hierarchical Federated Learning With Fault-Tolerance Mechanisms for Resilient Edge Computing Networks

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6G Connected Vehicle Framework to Support Intelligent Road Maintenance Using Deep Learning Data Fusion

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Security and Privacy Issues in Autonomous Vehicles: A Layer-Based Survey

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Federated learning-based secure electronic health record sharing scheme in medical informatics

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OQFL: An Optimized Quantum-Based Federated Learning Framework for Defending Against Adversarial Attacks in Intelligent Transportation Systems

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Free-riders in Federated Learning: Attacks and Defenses

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DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse TrainingPreprint

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Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection

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A Data Sharing Scheme Based on Federated Learning in IoV

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FedBoost: A Communication-Efficient Algorithm for Federated Learning

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Deep Federated Learning for IoT-based Decentralized Healthcare Systems

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Adaptive Resource Optimized Edge Federated Learning in Real-Time Image Sensing Classifications

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On the Convergence of Communication-Efficient Local SGD for Federated Learning

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Elastic Aggregation for Federated Optimization

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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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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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A Comprehensive Survey on Emerging AI Technologies for 6G Communications: Research Direction, Trends, Challenges, and Opportunities

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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

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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

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

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

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Federated Broad Learning for Uncrewed Aerial Vehicle Clusters in Water Monitoring

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

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

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

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

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

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Enriching Security in Federated Learning and IoT - A Systematic Review

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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

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

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

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

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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

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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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