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Federated Learning for Mobility Applications
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.comnet.2022.109041openalex-snapshot
A Comprehensive Review of Indoor/Outdoor Localization Solutions in IoT era: Research Challenges and Future Perspectives
inferredcites →https://doi.org/10.1109/access.2020.2968399openalex-snapshot
Federated Learning in Vehicular Edge Computing: A Selective Model Aggregation Approach
inferredcites →https://doi.org/10.1109/access.2020.3013541openalex-snapshot
Federated Learning: A Survey on Enabling Technologies, Protocols, and Applications
inferredcites →https://doi.org/10.1109/allerton.2015.7447103openalex-snapshot
Privacy-preserving deep learning
inferredcites →https://doi.org/10.1109/cdc45484.2021.9683257openalex-snapshot
Federated Learning for Collaborative Controller Design of Connected and Autonomous Vehicles
inferredcites →https://doi.org/10.1109/comst.2020.2986024openalex-snapshot
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/cse53436.2021.00020openalex-snapshot
UAV-empowered Vehicular Networking Scheme for Federated Learning in Delay Tolerant Environments
inferredcites →https://doi.org/10.1109/globecom38437.2019.9013587openalex-snapshot
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks
inferredcites →https://doi.org/10.1109/iccc54389.2021.9674388openalex-snapshot
Federated Learning of User Mobility Anomaly Based on Graph Attention Networks
inferredcites →https://doi.org/10.1109/infocom48880.2022.9796865openalex-snapshot
FLASH: Federated Learning for Automated Selection of High-band mmWave Sectors
inferredcites →https://doi.org/10.1109/jcn.2020.000015openalex-snapshot
AFRL: Adaptive federated reinforcement learning for intelligent jamming defense in FANET
inferredcites →https://doi.org/10.1109/jiot.2020.2991401openalex-snapshot
Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach
inferredcites →https://doi.org/10.1109/jiot.2020.3021006openalex-snapshot
Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework With UAV Swarms
inferredcites →https://doi.org/10.1109/jsen.2020.2998116openalex-snapshot
Pseudo Label-Driven Federated Learning-Based Decentralized Indoor Localization via Mobile Crowdsourcing
inferredcites →https://doi.org/10.1109/jsen.2021.3060185openalex-snapshot
Blockchain Brings Trust to Collaborative Drones and LEO Satellites: An Intelligent Decentralized Learning in the Space
inferredcites →https://doi.org/10.1109/jsen.2022.3165042openalex-snapshot
Prediction Based Semi-Supervised Online Personalized Federated Learning for Indoor Localization
inferredcites →https://doi.org/10.1109/noms54207.2022.9789814openalex-snapshot
Performance Impact of Differential Privacy on Federated Learning in Vehicular Networks
inferredcites →https://doi.org/10.1109/ojvt.2021.3065529openalex-snapshot
Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles With Federated Learning
inferredcites →https://doi.org/10.1109/percomworkshops51409.2021.9430863openalex-snapshot
Enabling Pervasive Federated Learning using Vehicular Virtual Edge Servers
inferredcites →https://doi.org/10.1109/tcomm.2019.2956472openalex-snapshot
Distributed Federated Learning for Ultra-Reliable Low-Latency Vehicular Communications
inferredcites →https://doi.org/10.1109/tcomm.2020.2990686openalex-snapshot
Federated Learning With Blockchain for Autonomous Vehicles: Analysis and Design Challenges
inferredcites →https://doi.org/10.1109/tits.2022.3149860openalex-snapshot
Clustered Vehicular Federated Learning: Process and Optimization
inferredcites →https://doi.org/10.1109/tits.2022.3154158openalex-snapshot
Toward Optimal MEC-Based Collision Avoidance System for Cooperative Inland Vessels: A Federated Deep Learning Approach
inferredcites →https://doi.org/10.1109/tvt.2021.3135332openalex-snapshot
On the Design of Federated Learning in Latency and Energy Constrained Computation Offloading Operations in Vehicular Edge Computing Systems
inferredcites →https://doi.org/10.1109/tvt.2022.3148872openalex-snapshot
Semi-Synchronous Federated Learning Protocol With Dynamic Aggregation in Internet of Vehicles
inferredcites →https://doi.org/10.1109/vnc51378.2020.9318386openalex-snapshot
On the Orchestration of Federated Learning through Vehicular Knowledge Networking
inferredcites →https://doi.org/10.1109/wocc53213.2021.9602993openalex-snapshot
RIS-assisted UAV Networks: Deployment Optimization with Reinforcement-Learning-Based Federated Learning
inferredcites →https://doi.org/10.1145/3369830openalex-snapshot
Decentralized Attention-based Personalized Human Mobility Prediction
inferredcites →https://doi.org/10.1145/3397536.3422270openalex-snapshot
Predicting Human Mobility with Federated Learning
inferredcites →https://doi.org/10.1145/3410530.3414321openalex-snapshot
Evaluation of federated learning aggregation algorithms
inferredcites →https://doi.org/10.1145/3414045.3415935openalex-snapshot
An incentive scheme for federated learning in the sky
inferredcites →https://doi.org/10.1145/3414045.3415949openalex-snapshot
Federated learning meets blockchain at 6G edge
inferredcites →https://doi.org/10.1145/3450288openalex-snapshot
A Systematic Literature Review on Federated Machine Learning
inferredcites →https://doi.org/10.1145/3460427openalex-snapshot
A Comprehensive Survey of Privacy-preserving Federated Learning
inferredcites →https://doi.org/10.1145/3477090.3481051openalex-snapshot
Federated learning-based aerial image segmentation for collision-free movement and landing
inferredcites →https://doi.org/10.1145/3477272openalex-snapshot
Fog-supported Low-latency Monitoring of System Disruptions in Industry 4.0: A Federated Learning Approach
inferredcites →https://doi.org/10.1145/3485125openalex-snapshot
A Survey on Deep Learning for Human Mobility
inferredcites →https://doi.org/10.1145/3501810openalex-snapshot
PSDF: Privacy-aware IoV Service Deployment with Federated Learning in Cloud-Edge Computing
inferredcites →https://doi.org/10.1145/3507971.3507985openalex-snapshot
Driver Action Recognition Using Federated Learning
inferredcites →https://doi.org/10.1145/3510548.3519372openalex-snapshot
Data Poisoning in Sequential and Parallel Federated Learning
inferredcites →https://doi.org/10.1145/3524104openalex-snapshot
Blockchain-enabled Federated Learning: A Survey
inferredcites →https://doi.org/10.1145/3533708openalex-snapshot
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges
inferredcites →https://doi.org/10.1145/3534678.3539047openalex-snapshot
Fed-LTD: Towards Cross-Platform Ride Hailing via Federated Learning to Dispatch
inferredcites →https://doi.org/10.1145/3554980openalex-snapshot
ClusterFL: A Clustering-based Federated Learning System for Human Activity Recognition
inferredcites →https://doi.org/10.1561/2200000083openalex-snapshot
Advances and Open Problems in Federated Learning
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-71467-2_11openalex-snapshot
Distributed and Personalized Federated Learning in Wireless Ad Hoc Networks
inferred← citeshttps://doi.org/10.1007/978-3-031-75771-6_17openalex-snapshot
Securing Healthcare AI: Applied Federal Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-94458-1_12openalex-snapshot
Poisoning Attack on Federated Learning with Non-IID Data: A Historical-Global-Model-Based Approach
inferred← citeshttps://doi.org/10.1007/978-3-032-10459-5_26openalex-snapshot
FedLay: An Energy-Efficient Hierarchical Federated Learning Framework for Heterogeneous Edge Devices
inferred← citeshttps://doi.org/10.1007/978-981-96-9812-7_15openalex-snapshot
A High-Dimensional Gradient Inversion Attack Based on Feature Distillation in Federated Learning
inferred← citeshttps://doi.org/10.1007/s00607-025-01602-zopenalex-snapshot
A comprehensive survey on FANET-IoT-IoV interactions: challenges, opportunities, and future directions in 6G-enabled smart cities
inferred← citeshttps://doi.org/10.1007/s10994-025-06795-0openalex-snapshot
Fedflow: a personalized federated learning framework for passenger flow prediction
inferred← citeshttps://doi.org/10.1007/s10994-025-06956-1openalex-snapshot
Federated SHAP: Privacy-Preserving and Consistent Post-hoc Explainability in Federated Learning
inferred← citeshttps://doi.org/10.1007/s40747-024-01664-0openalex-snapshot
A survey of security threats in federated learning
inferred← citeshttps://doi.org/10.1007/s41060-026-01067-zopenalex-snapshot
A review of security threats and privacy issues in federated learning
inferred← citeshttps://doi.org/10.1016/b978-0-44-344433-3.00006-xopenalex-snapshot
Federated learning at a glance
inferred← citeshttps://doi.org/10.1016/b978-0-44-344433-3.00015-0openalex-snapshot
Sustainable federated learning ecosystems: incentive mechanisms, robustness, and privacy
inferred← citeshttps://doi.org/10.1016/j.cie.2026.112382openalex-snapshot
Federated learning-enabled analytics for ESG data authenticity in digital apparel ecosystems: A platform governance perspective
inferred← citeshttps://doi.org/10.1016/j.comcom.2025.108200openalex-snapshot
A privacy-enhancing and lightweight framework for device-free localization-based AIoT system
inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111233openalex-snapshot
An energy-efficient decentralized federated learning framework for mobile-IoT networks
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.113614openalex-snapshot
Federated learning for big data: A survey on opportunities, applications, and future directions
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.128568openalex-snapshot
Overview of fair federated learning for fairness and privacy preservation
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.134331openalex-snapshot
Federated learning under limited and imperfect label supervision: A survey
inferred← citeshttps://doi.org/10.1016/j.icte.2026.09.013openalex-snapshot
Federated learning-based privacy-preserving and secure mobility and handover prediction in MEC-integrated cellular networks
inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104287openalex-snapshot
Federated learning for spatio-temporal data mining: a survey
inferred← citeshttps://doi.org/10.1016/j.ins.2024.121458openalex-snapshot
An adaptive asynchronous federated learning framework for heterogeneous Internet of things
inferred← citeshttps://doi.org/10.1016/j.ins.2026.124113openalex-snapshot
Virtual class learning for federated semi-supervised learning with open-set data
inferred← citeshttps://doi.org/10.1016/j.ipm.2026.104748openalex-snapshot
Fair client selection for multi-task federated learning in mobile edge networks
inferred← citeshttps://doi.org/10.1016/j.jechem.2025.09.081openalex-snapshot
Towards artificial intelligence-enabled autonomous battery prognostics and management
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.131931openalex-snapshot
DPSHE: A privacy-preserving federated learning scheme based on homomorphic encryption and differential privacy for medical image
inferred← citeshttps://doi.org/10.1016/j.neunet.2026.108889openalex-snapshot
Federated learning with noisy labels: A comprehensive and concise review of current methodologies and future directions
inferred← citeshttps://doi.org/10.1080/23742917.2026.2696259openalex-snapshot
A multi-level taxonomy-driven survey of security threats and defenses in federated learning across silos and devices
inferred← citeshttps://doi.org/10.1080/24694452.2026.2671994openalex-snapshot
Movement Research in the Era of Big Data, AI, and Open Science
inferred← citeshttps://doi.org/10.1109/aic70896.2026.11717414openalex-snapshot
LivestockChain-XAI: An Integrated Cyber-Physical Intelligence Framework for Livestock Health and Supply Chain Traceability
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11229017openalex-snapshot
Causeways: Building Bridges with Context in Peer-To-Peer Federated Learning
inferred← citeshttps://doi.org/10.1109/iwqos65803.2025.11143425openalex-snapshot
LLMCatalyst: A Novel Incentive Mechanism for Client-Assisted Foundation Model Training
inferred← citeshttps://doi.org/10.1109/jiot.2025.3617794openalex-snapshot
Human–Machine Hybrid Federated Learning: Concept and Applications
inferred← citeshttps://doi.org/10.1109/menacomm69507.2026.11532926openalex-snapshot
Design and Deployment of a Minimal Federated Learning Prototype for IoT Devices
inferred← citeshttps://doi.org/10.1109/tai.2025.3609745openalex-snapshot
Mitigating Label Noise in Federated Learning With Regularized Features and Robust Loss
inferred← citeshttps://doi.org/10.1109/tce.2025.3551511openalex-snapshot
Federated Learning With Local Differential Privacy for Autonomous Electronic Vehicles: Enhancing Security and Performance
inferred← citeshttps://doi.org/10.1109/tdsc.2025.3641896openalex-snapshot
AdaptiveShield: Dynamic Defense Against Decentralized Federated Learning Poisoning Attacks
inferred← citeshttps://doi.org/10.1109/tmc.2025.3558406openalex-snapshot
FedLFP: Communication-Efficient Personalized Federated Learning on Non-IID Data in Mobile Edge Computing Environments
inferred← citeshttps://doi.org/10.1109/tmc.2025.3600767openalex-snapshot
Federated Learning on Heterogeneous and Long-Tailed Data via Disentangled Representation
inferred← citeshttps://doi.org/10.1109/tnsm.2024.3398213openalex-snapshot
Clients Eligibility-Based Lightweight Protocol in Federated Learning: An IDS Use Case
inferred← citeshttps://doi.org/10.1109/ton.2025.3548277openalex-snapshot
AugFL: Augmenting Federated Learning With Pretrained Models
inferred← citeshttps://doi.org/10.1109/wincom65874.2025.11313364openalex-snapshot
EcoFL: Resource Allocation for Energy-Efficient Federated Learning in Multi-RAT ORAN Networks
inferred← citeshttps://doi.org/10.1140/epjds/s13688-025-00611-4openalex-snapshot
Impact of federated data with local differential privacy for human mobility modeling
inferred← citeshttps://doi.org/10.1145/3704413.3765513openalex-snapshot
Visual Encoding Method for Semantic Mapping with Federated Learning Concept
inferred← citeshttps://doi.org/10.1145/3746027.3754596openalex-snapshot
Multi-Width Neural Network-Assisted Hierarchical Federated Learning in Heterogeneous Cloud-Edge-Device Computing
inferred← citeshttps://doi.org/10.1145/3770860openalex-snapshot
Mobile Analytics Techniques: Survey, Evaluation, and Guidelines
inferred← citeshttps://doi.org/10.1145/3788149.3788210openalex-snapshot
Towards Privacy-Preserving Light Field Super-Resolution: A Federated Learning Approach
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Comprehensive application of artificial intelligence in preserved ratio impaired spirometry: A systematic literature review
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Deep federated learning: a systematic review of methods, applications, and challenges
inferred← citeshttps://doi.org/10.3390/app14209162openalex-snapshot
Distributed Fire Classification and Localization Model Based on Federated Learning with Image Clustering
inferred← citeshttps://doi.org/10.3390/electronics14163237openalex-snapshot
HiSatFL: A Hierarchical Federated Learning Framework for Satellite Networks with Cross-Domain Privacy Adaptation
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Understanding Differential Privacy in Decentralized Federated Learning: A Controlled Privacy–Utility Comparison
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Smart Cities: A Systematic Review of Emerging Technologies
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AI-Driven Security Framework for Internet of Mobility Things: A Mixed-Methods Analysis of Machine Learning Applications in Connected Vehicle Networks
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