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A Systematic Literature Review on Federated Machine Learning

https://doi.org/10.1145/3450288
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-20521-8_20openalex-snapshot
Model and Feature Aggregation Based Federated Learning for Multi-sensor Time Series Trend Following
inferredcites →https://doi.org/10.1007/978-3-030-29516-5_48openalex-snapshot
High Dimensional Restrictive Federated Model Selection with Multi-objective Bayesian Optimization over Shifted Distributions
inferredcites →https://doi.org/10.1007/978-3-030-32388-2_46openalex-snapshot
An Efficient Federated Learning Scheme with Differential Privacy in Mobile Edge Computing
inferredcites →https://doi.org/10.1007/s00766-005-0021-6openalex-snapshot
Requirements engineering paper classification and evaluation criteria: a proposal and a discussion
inferredcites →https://doi.org/10.1016/j.jbi.2019.103291openalex-snapshot
Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records
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.2019.2959220openalex-snapshot
Secure Architectures Implementing Trusted Coalitions for Blockchained Distributed Learning (TCLearn)
inferredcites →https://doi.org/10.1109/access.2019.2962873openalex-snapshot
Federated Learning-Based Cognitive Detection of Jamming Attack in Flying Ad-Hoc Network
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/bigdata47090.2019.9005465openalex-snapshot
Federated Learning with Bayesian Differential Privacy
inferredcites →https://doi.org/10.1109/bigdata50022.2020.9378161openalex-snapshot
Asynchronous Online Federated Learning for Edge Devices with Non-IID Data
inferredcites →https://doi.org/10.1109/globecom38437.2019.9013160openalex-snapshot
Performance Optimization of Federated Learning over Wireless Networks
inferredcites →https://doi.org/10.1109/icc40277.2020.9149138openalex-snapshot
Device Scheduling with Fast Convergence for Wireless Federated Learning
inferredcites →https://doi.org/10.1109/icws.2019.00016openalex-snapshot
Federated AI for the Enterprise: A Web Services Based Implementation
inferredcites →https://doi.org/10.1109/ieeeconf44664.2019.9049066openalex-snapshot
Federated Learning with Autotuned Communication-Efficient Secure Aggregation
inferredcites →https://doi.org/10.1109/jiot.2019.2940820openalex-snapshot
Incentive Mechanism for Reliable Federated Learning: A Joint Optimization Approach to Combining Reputation and Contract Theory
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.2019.2962715openalex-snapshot
Deep-Reinforcement-Learning-Based Mode Selection and Resource Allocation for Cellular V2X Communications
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.2020.2966778openalex-snapshot
FDC: A Secure Federated Deep Learning Mechanism for Data Collaborations in the Internet of Things
inferredcites →https://doi.org/10.1109/jiot.2020.2967772openalex-snapshot
A Learning-Based Incentive Mechanism for Federated Learning
inferredcites →https://doi.org/10.1109/jiot.2020.3032544openalex-snapshot
Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT
inferredcites →https://doi.org/10.1109/jiot.2021.3056185openalex-snapshot
Dynamic-Fusion-Based Federated Learning for COVID-19 Detection
inferredcites →https://doi.org/10.1109/jsac.2019.2904348openalex-snapshot
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
inferredcites →https://doi.org/10.1109/lcomm.2019.2921755openalex-snapshot
Blockchained On-Device Federated Learning
inferredcites →https://doi.org/10.1109/lnet.2019.2947144openalex-snapshot
Motivating Workers in Federated Learning: A Stackelberg Game Perspective
inferredcites →https://doi.org/10.1109/lra.2019.2931179openalex-snapshot
Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems
inferredcites →https://doi.org/10.1109/lwc.2019.2917133openalex-snapshot
Efficient Training Management for Mobile Crowd-Machine Learning: A Deep Reinforcement Learning Approach
inferredcites →https://doi.org/10.1109/msp.2020.2975749openalex-snapshot
Federated Learning: Challenges, Methods, and Future Directions
inferredcites →https://doi.org/10.1109/mwc.001.1900119openalex-snapshot
Reliable Federated Learning for Mobile Networks
inferredcites →https://doi.org/10.1109/tdsc.2019.2952332openalex-snapshot
DeepChain: Auditable and Privacy-Preserving Deep Learning with Blockchain-based Incentive
inferredcites →https://doi.org/10.1109/tifs.2019.2929409openalex-snapshot
VerifyNet: Secure and Verifiable Federated Learning
inferredcites →https://doi.org/10.1109/tii.2019.2941244openalex-snapshot
DeepPAR and DeepDPA: Privacy Preserving and Asynchronous Deep Learning for Industrial IoT
inferredcites →https://doi.org/10.1109/tii.2019.2942179openalex-snapshot
Differentially Private Asynchronous Federated Learning for Mobile Edge Computing in Urban Informatics
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.2019.2945367openalex-snapshot
Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence
inferredcites →https://doi.org/10.1109/tkde.2019.2936565openalex-snapshot
A Privacy-Preserving Distributed Contextual Federated Online Learning Framework with Big Data Support in Social Recommender Systems
inferredcites →https://doi.org/10.1109/tnnls.2019.2919699openalex-snapshot
Multi-Objective Evolutionary Federated Learning
inferredcites →https://doi.org/10.1109/tnnls.2019.2944481openalex-snapshot
Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data
inferredcites →https://doi.org/10.1109/tnnls.2019.2953131openalex-snapshot
Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation
inferredcites →https://doi.org/10.1109/tnnls.2020.3015958openalex-snapshot
Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints
inferredcites →https://doi.org/10.1109/tse.2019.2937083openalex-snapshot
How does Machine Learning Change Software Development Practices?
inferredcites →https://doi.org/10.1109/twc.2019.2942929openalex-snapshot
Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks
inferredcites →https://doi.org/10.1109/twc.2019.2946245openalex-snapshot
Broadband Analog Aggregation for Low-Latency Federated Edge Learning
inferredcites →https://doi.org/10.1109/twc.2019.2961673openalex-snapshot
Federated Learning via Over-the-Air Computation
inferredcites →https://doi.org/10.1109/twc.2020.2971981openalex-snapshot
A Crowdsourcing Framework for On-Device Federated Learning
inferredcites →https://doi.org/10.1117/12.2519621openalex-snapshot
Approaches to address the data skew problem in federated learning
inferredcites →https://doi.org/10.1145/3133956.3133982openalex-snapshot
Practical Secure Aggregation for Privacy-Preserving Machine Learning
inferredcites →https://doi.org/10.1145/3170427.3170632openalex-snapshot
The General Data Protection Regulation
inferredcites →https://doi.org/10.1145/3287075openalex-snapshot
DeepType
inferredcites →https://doi.org/10.1145/3292040.3219655openalex-snapshot
Distributed Statistical Machine Learning in Adversarial Settings
inferredcites →https://doi.org/10.1145/3298981openalex-snapshot
Federated Machine Learning
inferredcites →https://doi.org/10.1145/3318216.3363324openalex-snapshot
Distributed deep neural network training on edge devices
inferredcites →https://doi.org/10.1145/3319535.3363256openalex-snapshot
Poster
inferredcites →https://doi.org/10.1145/3321408.3323080openalex-snapshot
Exploring federated learning on battery-powered devices
inferredcites →https://doi.org/10.1145/3338466.3358926openalex-snapshot
PrivFL
inferredcites →https://doi.org/10.1145/3338501.3357370openalex-snapshot
A Hybrid Approach to Privacy-Preserving Federated Learning
inferredcites →https://doi.org/10.1145/3338501.3357371openalex-snapshot
HybridAlpha
inferredcites →https://doi.org/10.1145/3357223.3362708openalex-snapshot
Cartel
inferredcites →https://doi.org/10.1145/3357384.3357878openalex-snapshot
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis
inferredcites →https://doi.org/10.1145/3357384.3357909openalex-snapshot
Federated Topic Modeling
inferredcites →https://doi.org/10.1145/3365109.3368788openalex-snapshot
A Simple and Efficient Federated Recommender System
inferredcites →https://doi.org/10.1145/3368926.3369705openalex-snapshot
Multi-Task Network Anomaly Detection using Federated Learning
inferredcites →https://doi.org/10.1145/3369830openalex-snapshot
Decentralized Attention-based Personalized Human Mobility Prediction
inferredcites →https://doi.org/10.3390/app8122663openalex-snapshot
Chained Anomaly Detection Models for Federated Learning: An Intrusion Detection Case Study

What points at this work

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

inferred← citeshttps://doi.org/10.1002/9781394214167.ch12openalex-snapshot
Software Engineering in Machine Learning Applications
inferred← citeshttps://doi.org/10.1002/cpe.8063openalex-snapshot
Cross‐network service recommendation in smart cities
inferred← citeshttps://doi.org/10.1002/ima.22994openalex-snapshot
Privacy preserved collaborative transfer learning model with heterogeneous distributed data for brain tumor classification
inferred← citeshttps://doi.org/10.1002/smr.2642openalex-snapshot
On the use of big data frameworks in big service management
inferred← citeshttps://doi.org/10.1007/978-3-030-70604-3_1openalex-snapshot
Federated Learning Research: Trends and Bibliometric Analysis
inferred← citeshttps://doi.org/10.1007/978-3-030-72188-6_2openalex-snapshot
AI and Ethics—Operationalizing Responsible AI
inferred← citeshttps://doi.org/10.1007/978-3-030-86044-8_6openalex-snapshot
FLRA: A Reference Architecture for Federated Learning Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-89025-4_9openalex-snapshot
Federated Learning for Privacy-Preserving Internet of Things
inferred← citeshttps://doi.org/10.1007/978-3-031-50959-9_42openalex-snapshot
Preventing Text Data Poisoning Attacks in Federated Machine Learning by an Encrypted Verification Key
inferred← citeshttps://doi.org/10.1007/978-3-031-51167-7_22openalex-snapshot
Challenges and Advancement in Federated Recommendation System: A Comprehensive Review
inferred← citeshttps://doi.org/10.1007/978-3-031-63223-5_5openalex-snapshot
Vertical Federated Image Segmentation
inferred← citeshttps://doi.org/10.1007/978-3-031-87778-0_25openalex-snapshot
Federated Learning Algorithm for Identification of Apnea Sleeping Disorder
inferred← citeshttps://doi.org/10.1007/978-3-031-93257-1_12openalex-snapshot
FedUDA: Towards a Novel Unfairness Distribution Attack Against Federated Learning Models
inferred← citeshttps://doi.org/10.1007/978-3-032-30954-9_25openalex-snapshot
Federated Foundation Models: Privacy-Preserving Fine-Tuning of Billion-Parameter LLMs
inferred← citeshttps://doi.org/10.1007/978-981-19-2635-8_69openalex-snapshot
Blockchain Empowered Federated Learning with Edge Computing for Digital Twin Systems in Urban Air Mobility
inferred← citeshttps://doi.org/10.1007/978-981-97-1277-9_5openalex-snapshot
A Review of Solving Non-IID Data in Federated Learning: Current Status and Future Directions
inferred← citeshttps://doi.org/10.1007/978-981-97-5791-6_19openalex-snapshot
Security, Privacy, and Communication Efficiency in Federated Learning: Issues and Perspectives
inferred← citeshttps://doi.org/10.1007/978-981-99-3761-5_25openalex-snapshot
Federated Learning Approaches to Diverse Machine Learning Model: A Review
inferred← citeshttps://doi.org/10.1007/978-981-99-7032-2_2openalex-snapshot
FedLS: An Anti-poisoning Attack Mechanism for Federated Network Intrusion Detection Systems Using Autoencoder-Based Latent Space Representations
inferred← citeshttps://doi.org/10.1007/s00607-025-01417-yopenalex-snapshot
Daas composition: enhancing UAV delivery services via LSTM-based resource prediction and flight patterns mining
inferred← citeshttps://doi.org/10.1007/s10115-024-02285-2openalex-snapshot
Trustworthy federated learning: privacy, security, and beyond
inferred← citeshttps://doi.org/10.1007/s10115-026-02753-xopenalex-snapshot
Privacy meets personalization: a systematic literature review of federated recommender systems
inferred← citeshttps://doi.org/10.1007/s10207-026-01213-5openalex-snapshot
Assessing security vulnerabilities in a docker-enabled federated learning framework with hyperparameter tuning for software bug prediction
inferred← citeshttps://doi.org/10.1007/s10462-021-10123-yopenalex-snapshot
Visual privacy attacks and defenses in deep learning: a survey
inferred← citeshttps://doi.org/10.1007/s10515-024-00424-1openalex-snapshot
Software defect prediction: future directions and challenges
inferred← citeshttps://doi.org/10.1007/s10586-022-03763-4openalex-snapshot
Federated learning for energy constrained devices: a systematic mapping study
inferred← citeshttps://doi.org/10.1007/s10586-024-04289-7openalex-snapshot
PerMl-Fed: enabling personalized multi-level federated learning within heterogenous IoT environments for activity recognition
inferred← citeshttps://doi.org/10.1007/s10586-025-05690-6openalex-snapshot
Full stack optimization of microservice architecture: systematic review and research opportunity
inferred← citeshttps://doi.org/10.1007/s13042-024-02234-zopenalex-snapshot
Comparative analysis of open-source federated learning frameworks - a literature-based survey and review
inferred← citeshttps://doi.org/10.1007/s42979-022-01173-2openalex-snapshot
RETRACTED ARTICLE: A Novel Framework in Software Engineering for Deep Learning
inferred← citeshttps://doi.org/10.1016/b978-0-443-13897-3.00015-1openalex-snapshot
Performance evaluation of federated learning algorithms using breast cancer dataset
inferred← citeshttps://doi.org/10.1016/j.aej.2025.05.007openalex-snapshot
Domain adaptive FL for edge-enabled privacy-preserving MRI analysis
inferred← citeshttps://doi.org/10.1016/j.aej.2026.04.008openalex-snapshot
Towards practical federated unlearning: A knowledge distillation solution
inferred← citeshttps://doi.org/10.1016/j.asoc.2022.109612openalex-snapshot
Study of selected methods for balancing independent data sets in k -nearest neighbors classifiers with Pawlak conflict analysis
inferred← citeshttps://doi.org/10.1016/j.atech.2026.102527openalex-snapshot
Distributed machine learning in precision agriculture: methods, applications, and challenges
inferred← citeshttps://doi.org/10.1016/j.cirp.2021.04.022openalex-snapshot
Privacy-preserving design of smart products through federated learning
inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111642openalex-snapshot
Federated resource prediction in UAV networks for efficient composition of drone delivery services
inferred← citeshttps://doi.org/10.1016/j.compag.2024.109001openalex-snapshot
Resource-efficient federated learning over IoAT for rice leaf disease classification
inferred← citeshttps://doi.org/10.1016/j.cose.2023.103278openalex-snapshot
Edge intelligence secure frameworks: Current state and future challenges
inferred← citeshttps://doi.org/10.1016/j.datak.2025.102422openalex-snapshot
Privacy-preserving cross-network service recommendation via federated learning of unified user representations
inferred← citeshttps://doi.org/10.1016/j.egyai.2026.100925openalex-snapshot
Decentralized intelligence in smart grids: a comprehensive survey of edge computing and federated learning
inferred← citeshttps://doi.org/10.1016/j.ejcped.2024.100196openalex-snapshot
General context and relevant public datasets available for improving pathways in Paediatric Cancer applying Artificial Intelligence. A review
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127973openalex-snapshot
FedAgent: Federated Learning on Non-IID Data via Reinforcement Learning and Knowledge Distillation
inferred← citeshttps://doi.org/10.1016/j.future.2022.05.003openalex-snapshot
A state-of-the-art survey on solving non-IID data in Federated Learning
inferred← citeshttps://doi.org/10.1016/j.future.2023.06.001openalex-snapshot
Survey on Federated Learning enabling indoor navigation for industry 4.0 in B5G
inferred← citeshttps://doi.org/10.1016/j.future.2023.10.013openalex-snapshot
FederatedTrust: A solution for trustworthy federated learning
inferred← citeshttps://doi.org/10.1016/j.future.2024.05.009openalex-snapshot
Understanding global aggregation and optimization of federated learning
inferred← citeshttps://doi.org/10.1016/j.ijmedinf.2024.105650openalex-snapshot
FedDSS: A data-similarity approach for client selection in horizontal federated learning
inferred← citeshttps://doi.org/10.1016/j.ijmedinf.2025.106242openalex-snapshot
A roadmap for federated learning projects using health data to guide sustainable artificial intelligence development in the European Union
inferred← citeshttps://doi.org/10.1016/j.imu.2025.101618openalex-snapshot
Towards trustworthy AI-driven leukemia diagnosis: A hybrid Hierarchical Federated Learning and explainable AI framework
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.102189openalex-snapshot
Federated learning for IoT devices: Enhancing TinyML with on-board training
inferred← citeshttps://doi.org/10.1016/j.infsof.2021.106693openalex-snapshot
Developing Mobile Applications Via Model Driven Development: A Systematic Literature Review
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Software solutions for newcomers’ onboarding in software projects: A systematic literature review
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Classification and challenges of non-functional requirements in ML-enabled systems: A systematic literature review
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108291openalex-snapshot
STEER-FL: A process model for federated learning derived from a dual-perspective systematic literature review
inferred← citeshttps://doi.org/10.1016/j.iot.2024.101251openalex-snapshot
A contemporary survey of recent advances in federated learning: Taxonomies, applications, and challenges
inferred← citeshttps://doi.org/10.1016/j.iot.2026.101955openalex-snapshot
Benchmarking federated learning applications in cloud-edge-IoT deployments
inferred← citeshttps://doi.org/10.1016/j.jbi.2023.104338openalex-snapshot
The need for multimodal health data modeling: A practical approach for a federated-learning healthcare platform
inferred← citeshttps://doi.org/10.1016/j.jpdc.2024.104918openalex-snapshot
Balancing privacy and performance in federated learning: A systematic literature review on methods and metrics
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2024.234674openalex-snapshot
Survey on task-centric robot battery management: A neural network framework
inferred← citeshttps://doi.org/10.1016/j.jss.2022.111357openalex-snapshot
Architectural patterns for the design of federated learning systems
inferred← citeshttps://doi.org/10.1016/j.jss.2023.111615openalex-snapshot
The pipeline for the continuous development of artificial intelligence models—Current state of research and practice
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Federated Markov Logic Network for indoor activity recognition in Internet of Things
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110658openalex-snapshot
Federated learning for secure IoMT-applications in smart healthcare systems: A comprehensive review
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113560openalex-snapshot
Adaptive aggregation for federated learning using representation ability based on feature alignment
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A review of secure federated learning: Privacy leakage threats, protection technologies, challenges and future directions
inferred← citeshttps://doi.org/10.1016/j.procs.2022.12.238openalex-snapshot
Multi-level Federated Learning for Industry 4.0 - A Crowdsourcing Approach
inferred← citeshttps://doi.org/10.1016/j.procs.2023.10.264openalex-snapshot
Preventing Image Data Poisoning Attacks in Federated Machine Learning by an Encrypted Verification Key
inferred← citeshttps://doi.org/10.1016/j.seppur.2025.136712openalex-snapshot
Automated machine learning predicting SO₂ and CO₂ adsorption and separation in metal organic frameworks
inferred← citeshttps://doi.org/10.1016/j.solener.2024.112942openalex-snapshot
Federated learning for solar energy applications: A case study on real-time fault detection
inferred← citeshttps://doi.org/10.1017/9781108985734.003openalex-snapshot
Designing for Privacy in Clever Urban Computing
inferred← citeshttps://doi.org/10.1038/s41598-025-89612-xopenalex-snapshot
A privacy-preserving dependable deep federated learning model for identifying new infections from genome sequences
inferred← citeshttps://doi.org/10.1049/cmu2.12744openalex-snapshot
A novel federated learning aggregation algorithm for AIoT intrusion detection
inferred← citeshttps://doi.org/10.1080/10298436.2023.2257852openalex-snapshot
Implementation of deep neural networks and statistical methods to predict the resilient modulus of soils
inferred← citeshttps://doi.org/10.1088/1742-6596/1757/1/012192openalex-snapshot
Research on the Security Technology of Federated Learning Privacy Preserving
inferred← citeshttps://doi.org/10.1109/access.2022.3141709openalex-snapshot
Extremely Randomized Trees With Privacy Preservation for Distributed Structured Health Data
inferred← citeshttps://doi.org/10.1109/aero53065.2022.9843800openalex-snapshot
Federated Learning: Dataset Management for Airport Object Representations Using Remote Sensing Images
inferred← citeshttps://doi.org/10.1109/aibthings58340.2023.10292481openalex-snapshot
Natural Language Processing using Federated Learning: A Structured Literature Review
inferred← citeshttps://doi.org/10.1109/apwcs67981.2025.11151953openalex-snapshot
Implementing Federated Learning via IoTtalk: A Smart Home Case Study
inferred← citeshttps://doi.org/10.1109/bcca62388.2024.10844426openalex-snapshot
Tiny Federated Learning with Blockchain for Privacy and Security Preservation of MCU-Based IoT Applications
inferred← citeshttps://doi.org/10.1109/bddm68348.2025.11442062openalex-snapshot
Secure and Efficient Momentum Federated Learning for Privacy-Preserving Data Mining
inferred← citeshttps://doi.org/10.1109/bdkcse59280.2023.10339771openalex-snapshot
Exploring Federated Learning for Data Integration: A Structured Literature Review
inferred← citeshttps://doi.org/10.1109/cascon62161.2024.10838190openalex-snapshot
Just-in-Time and Real-Time Bug-Inducing Commit Prediction Using a Federated Learning Approach
inferred← citeshttps://doi.org/10.1109/comst.2023.3316615openalex-snapshot
Combining Federated Learning and Edge Computing Toward Ubiquitous Intelligence in 6G Network: Challenges, Recent Advances, and Future Directions
inferred← citeshttps://doi.org/10.1109/comst.2024.3352910openalex-snapshot
Federated Learning-Empowered Mobile Network Management for 5G and Beyond Networks: From Access to Core
inferred← citeshttps://doi.org/10.1109/comst.2024.3399612openalex-snapshot
Transitioning From Federated Learning to Quantum Federated Learning in Internet of Things: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1109/csrswtc64338.2024.10811557openalex-snapshot
Efficient Federated Learning Via Low-Rank Gradient Compression for Intelligent Transportation System
inferred← citeshttps://doi.org/10.1109/dtpi52967.2021.9540175openalex-snapshot
A Federated Parallel Data Platform for Trustworthy AI
inferred← citeshttps://doi.org/10.1109/flta67013.2025.11336340openalex-snapshot
Federated Learning Architecture for Self-Improving Biometric Access Control in Office Buildings
inferred← citeshttps://doi.org/10.1109/icbc54727.2022.9805548openalex-snapshot
Proof of Federated Training: Accountable Cross-Network Model Training and Inference
inferred← citeshttps://doi.org/10.1109/icccas62034.2024.10652649openalex-snapshot
Network Intrusion Detection Scheme Based on Federated Learning in Heterogeneous Network Environments
inferred← citeshttps://doi.org/10.1109/icfec54809.2022.00008openalex-snapshot
Sparse Communication for Federated Learning
inferred← citeshttps://doi.org/10.1109/icsist70215.2026.11706235openalex-snapshot
XGLF-BML: An Explainable Graph Learning Framework with Adaptive Attention for Blockchain Money Laundering Detection using Heterogeneous Transaction Graphs
inferred← citeshttps://doi.org/10.1109/icws55610.2022.00026openalex-snapshot
Databox-based Delivery Service via Blockchain
inferred← citeshttps://doi.org/10.1109/ipccc51483.2021.9679405openalex-snapshot
Methodological Principles for Deep Learning in Software Engineering
inferred← citeshttps://doi.org/10.1109/ipdps53621.2022.00100openalex-snapshot
HACCS: Heterogeneity-Aware Clustered Client Selection for Accelerated Federated Learning
inferred← citeshttps://doi.org/10.1109/isca59077.2024.00071openalex-snapshot
Flagger: Cooperative Acceleration for Large-Scale Cross-Silo Federated Learning Aggregation
inferred← citeshttps://doi.org/10.1109/isoirs63136.2024.00039openalex-snapshot
Integrating Federated Learning for Privacy Protection in Intelligent Home Care Robots
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/10.1109/iwcmc58020.2023.10182497openalex-snapshot
Privacy and Tracking in the Emerging Mobile Applications: A Survey
inferred← citeshttps://doi.org/10.1109/jas.2022.106058openalex-snapshot
Privacy Protection for Blockchain-Based Healthcare IoT Systems: A Survey
inferred← citeshttps://doi.org/10.1109/jbhi.2022.3185418openalex-snapshot
Privacy Enhancing and Scalable Federated Learning to Accelerate AI Implementation in Cross-Silo and IoMT Environments
inferred← citeshttps://doi.org/10.1109/jiot.2020.3032544openalex-snapshot
Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT
inferred← citeshttps://doi.org/10.1109/jiot.2021.3056185openalex-snapshot
Dynamic-Fusion-Based Federated Learning for COVID-19 Detection
inferred← citeshttps://doi.org/10.1109/mim.2023.10328671openalex-snapshot
Measurement and Applications: Exploring the Challenges and Opportunities of Hierarchical Federated Learning in Sensor Applications
inferred← citeshttps://doi.org/10.1109/ojcoms.2024.3484228openalex-snapshot
Federated Learning for Human Activity Recognition: Overview, Advances, and Challenges
inferred← citeshttps://doi.org/10.1109/percomworkshops53856.2022.9767250openalex-snapshot
TinyFedTL: Federated Transfer Learning on Ubiquitous Tiny IoT Devices
inferred← citeshttps://doi.org/10.1109/tbdata.2024.3409947openalex-snapshot
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation
inferred← citeshttps://doi.org/10.1109/tcbb.2023.3239848openalex-snapshot
DFML: Dynamic Federated Meta-Learning for Rare Disease Prediction
inferred← citeshttps://doi.org/10.1109/tccn.2024.3424840openalex-snapshot
Joint Optimization of Resource Allocation and Data Selection for Fast and Cost-Efficient Federated Edge Learning
inferred← citeshttps://doi.org/10.1109/tce.2023.3328020openalex-snapshot
Federated Learning-Based Misbehavior Detection for the 5G-Enabled Internet of Vehicles
inferred← citeshttps://doi.org/10.1109/tce.2025.3634753openalex-snapshot
Adaptive Federated Reinforcement Learning With Temporal Hybrid Deep Model for Consumer Internet of Vehicles Intrusion Detection
inferred← citeshttps://doi.org/10.1109/tcss.2022.3230987openalex-snapshot
Feature-Contrastive Graph Federated Learning: Responsible AI in Graph Information Analysis
inferred← citeshttps://doi.org/10.1109/tifs.2023.3297905openalex-snapshot
FedRecovery: Differentially Private Machine Unlearning for Federated Learning Frameworks
inferred← citeshttps://doi.org/10.1109/tii.2020.3043458openalex-snapshot
Fed-IIoT: A Robust Federated Malware Detection Architecture in Industrial IoT
inferred← citeshttps://doi.org/10.1109/tii.2021.3064351openalex-snapshot
Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT
inferred← citeshttps://doi.org/10.1109/tii.2021.3067324openalex-snapshot
A Federated Learning-Based License Plate Recognition Scheme for 5G-Enabled Internet of Vehicles
inferred← citeshttps://doi.org/10.1109/tii.2021.3088057openalex-snapshot
Federated Transfer Learning Based Cross-Domain Prediction for Smart Manufacturing
inferred← citeshttps://doi.org/10.1109/tnsm.2022.3177512openalex-snapshot
The Evolution of Federated Learning-Based Intrusion Detection and Mitigation: A Survey
inferred← citeshttps://doi.org/10.1109/tr.2024.3524064openalex-snapshot
Fed-OLF: Federated Oversampling Learning Framework for Imbalanced Software Defect Prediction Under Privacy Protection
inferred← citeshttps://doi.org/10.1109/tse.2023.3347898openalex-snapshot
Federated Learning for Software Engineering: A Case Study of Code Clone Detection and Defect Prediction
inferred← citeshttps://doi.org/10.1109/tvt.2026.3652689openalex-snapshot
Mobility-Aware Cross-Region Federated Mutual Knowledge Distillation in Internet of Vehicles
inferred← citeshttps://doi.org/10.1109/wf-iot54382.2022.10152174openalex-snapshot
Decentralized Federated Learning for Intrusion Detection in IoT-based Systems: A Review
inferred← citeshttps://doi.org/10.1142/s0218194026300010openalex-snapshot
Software Development Process Model for Machine Learning and Evolving Variants: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1142/s2196888826500120openalex-snapshot
Self-Aware Quantization for Privacy-Preserving Federated Learning: Enhancing Alzheimer Diagnosis with an Adaptive Inception-Transformer Framework
inferred← citeshttps://doi.org/10.1145/3510003.3510057openalex-snapshot
The art and practice of data science pipelines
inferred← citeshttps://doi.org/10.1145/3510579openalex-snapshot
A Survey of Privacy Vulnerabilities of Mobile Device Sensors
inferred← citeshttps://doi.org/10.1145/3538226openalex-snapshot
A Hybrid Incentive Mechanism for Decentralized Federated Learning
inferred← citeshttps://doi.org/10.1145/3540250.3560883openalex-snapshot
Exploring the under-explored terrain of non-open source data for software engineering through the lens of federated learning
inferred← citeshttps://doi.org/10.1145/3569902.3570179openalex-snapshot
Design of a Federated Learning System for IT Security: Towards Secure Human Resource Management
inferred← citeshttps://doi.org/10.1145/3579643openalex-snapshot
Rise of the Planet of Serverless Computing: A Systematic Review
inferred← citeshttps://doi.org/10.1145/3589335.3651935openalex-snapshot
Phoenix: A Federated Generative Diffusion Model
inferred← citeshttps://doi.org/10.1145/3593434.3593438openalex-snapshot
A Systematic Literature Review on Client Selection in Federated Learning
inferred← citeshttps://doi.org/10.1145/3596907openalex-snapshot
Federated Learning for Computationally Constrained Heterogeneous Devices: A Survey
inferred← citeshttps://doi.org/10.1145/3637868openalex-snapshot
Federated Learning for Mobility Applications
inferred← citeshttps://doi.org/10.1145/3652596openalex-snapshot
Mobile Near-infrared Sensing—A Systematic Review on Devices, Data, Modeling, and Applications
inferred← citeshttps://doi.org/10.1145/3657286openalex-snapshot
A Systematic Literature Review of Novelty Detection in Data Streams: Challenges and Opportunities
inferred← citeshttps://doi.org/10.1145/3661167.3661210openalex-snapshot
Code Summarization without Direct Access to Code - Towards Exploring Federated LLMs for Software Engineering
inferred← citeshttps://doi.org/10.1145/3691620.3695021openalex-snapshot
Promise and Peril of Collaborative Code Generation Models: Balancing Effectiveness and Memorization
inferred← citeshttps://doi.org/10.1145/3714465openalex-snapshot
Research on WebAssembly Runtimes: A Survey
inferred← citeshttps://doi.org/10.1145/3725527openalex-snapshot
Self-adaptive Federated Learning in Internet of Things Systems: A Review
inferred← citeshttps://doi.org/10.1145/3786152.3788591openalex-snapshot
A Design Space for Federated Software Systems
inferred← citeshttps://doi.org/10.1177/15501329221102371openalex-snapshot
Embedded intelligence and the data-driven future of application-specific Internet of Things for smart environments
inferred← citeshttps://doi.org/10.14733/cadaps.2024.s22.1-17openalex-snapshot
E-learning in Software Engineering Education for Computer Software Development in the Big Data Context
inferred← citeshttps://doi.org/10.14733/cadaps.2024.s22.103-114openalex-snapshot
Big Data Analysis of Music Education for Future Intelligent Learning Leveraging E-Learning Using Deep Learning Technology
inferred← citeshttps://doi.org/10.14733/cadaps.2024.s22.115-126openalex-snapshot
Building a Diversified College English Teaching Evaluation Model Using Fuzzy K-means Clustering in E-Learning
inferred← citeshttps://doi.org/10.14733/cadaps.2024.s22.127-134openalex-snapshot
Augmenting College English Teaching with Advanced Semantic Representation and Intelligent Evaluation in E-Learning
inferred← citeshttps://doi.org/10.14733/cadaps.2024.s22.135-147openalex-snapshot
College English Education's Innovative Path Integrating Environmental Protection Literacy Training with E-Learning
inferred← citeshttps://doi.org/10.14733/cadaps.2024.s22.148-159openalex-snapshot
Reflections and Research on E-Learning English Teaching Activities Under Deep Learning
inferred← citeshttps://doi.org/10.14733/cadaps.2024.s22.160-171openalex-snapshot
Improving College English Teaching Quality Through Wireless Network Artificial Intelligence in E-Learning
inferred← citeshttps://doi.org/10.14733/cadaps.2024.s22.172-189openalex-snapshot
Comparative Analysis of Internet of Things-Based Simulation and Real Field Teaching Modes in Different Campus Golf Rooms Exploring E-Learning Perspectives
inferred← citeshttps://doi.org/10.14733/cadaps.2024.s22.18-31openalex-snapshot
Developing and Implementing an Advanced E-Learning English Classroom Teaching Model Using Deep Learning Technique
inferred← citeshttps://doi.org/10.14733/cadaps.2024.s22.190-204openalex-snapshot
The Promotion Effect of E-Learning in Intelligent Dance Teaching: Resource Mining Method on Dance Teaching
inferred← citeshttps://doi.org/10.14733/cadaps.2024.s22.205-218openalex-snapshot
Deep Learning Perspectives in E-Learning Analyzing Music Teaching Methods within Core Literacy Context
inferred← citeshttps://doi.org/10.14733/cadaps.2024.s22.219-235openalex-snapshot
Implementing E-Learning in English Translation Teaching Using Deep Learning Models and Output-Oriented Methods
inferred← citeshttps://doi.org/10.14733/cadaps.2024.s22.236-250openalex-snapshot
E-learning Learning Behavior Evaluation and Prediction Method Based on Sentiment Analysis
inferred← citeshttps://doi.org/10.14733/cadaps.2024.s22.251-264openalex-snapshot
Construction of E-Learning English Wisdom Classroom Based on Educational Big Data Mining
inferred← citeshttps://doi.org/10.14733/cadaps.2024.s22.32-44openalex-snapshot
Research and Practice of E-Learning Education and Teaching Mode Based on Data Mining Technology
inferred← citeshttps://doi.org/10.14733/cadaps.2024.s22.45-58openalex-snapshot
Evaluating E-Learning Innovations in Education Management Based on Neural Network for Colleges and Universities' Entrepreneurship Systems
inferred← citeshttps://doi.org/10.14733/cadaps.2024.s22.59-71openalex-snapshot
The Development Strategy of E-Learning in Online English Teaching Amidst Big Data
inferred← citeshttps://doi.org/10.14733/cadaps.2024.s22.72-81openalex-snapshot
Evaluating English Teaching Project Quality through Deep Decision-Making and Rule Association Analysis in E-Learning
inferred← citeshttps://doi.org/10.14733/cadaps.2024.s22.82-90openalex-snapshot
Diagnosing Electricity Stealing Behavior Based on Deep Learning Algorithm in E-learning Context: Research and Application
inferred← citeshttps://doi.org/10.14733/cadaps.2024.s22.91-102openalex-snapshot
Distributed Photovoltaic Monitoring Application - E-Learning Information Collection and Monitoring of Distributed Photovoltaic Power Plants
inferred← citeshttps://doi.org/10.2174/0126662558286756231206062720openalex-snapshot
An IoMT-based Federated Learning Survey in Smart Transportation
inferred← citeshttps://doi.org/10.2196/41588openalex-snapshot
Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review
inferred← citeshttps://doi.org/10.26756/th.2022.508openalex-snapshot
Federated Machine Learning for Multi-Aspect Neuro-developmental Disorders
inferred← citeshttps://doi.org/10.32603/2071-2340-2022-1-30-45openalex-snapshot
Архитектура многоагентных систем для федеративного обучения
inferred← citeshttps://doi.org/10.32604/cmc.2023.037413openalex-snapshot
COVID-19 Classification from X-Ray Images: An Approach to Implement Federated Learning on Decentralized Dataset
inferred← citeshttps://doi.org/10.32604/cmc.2024.049846openalex-snapshot
Federated Learning on Internet of Things: Extensive and Systematic Review
inferred← citeshttps://doi.org/10.32604/iasc.2022.023763openalex-snapshot
Federated Learning for Privacy-Preserved Medical Internet of Things
inferred← citeshttps://doi.org/10.32628/cseit24106185openalex-snapshot
Interpreting Federated Learning (FL) Models on Edge Devices by Enhancing Model Explainability with Computational Geometry and Advanced Database Architectures
inferred← citeshttps://doi.org/10.32920/26052493openalex-snapshot
Novel Solutions for Privacy, Security and Trust in Modern Medical Data Management Systems
inferred← citeshttps://doi.org/10.32920/26052493.v1openalex-snapshot
Novel Solutions for Privacy, Security and Trust in Modern Medical Data Management Systems
inferred← citeshttps://doi.org/10.3389/fbloc.2022.893747openalex-snapshot
A field test of a federated learning/federated analytic blockchain network implementation in an HPC environment
inferred← citeshttps://doi.org/10.3390/ani11102981openalex-snapshot
Data Governance in the Dairy Industry
inferred← citeshttps://doi.org/10.3390/app14072720openalex-snapshot
Communication Efficiency and Non-Independent and Identically Distributed Data Challenge in Federated Learning: A Systematic Mapping Study
inferred← citeshttps://doi.org/10.3390/biomedinformatics3030045openalex-snapshot
Deep Learning and Federated Learning for Screening COVID-19: A Review
inferred← citeshttps://doi.org/10.3390/electronics11193138openalex-snapshot
Framing Network Flow for Anomaly Detection Using Image Recognition and Federated Learning
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/10.3390/jcp5030048openalex-snapshot
Fed-DTB: A Dynamic Trust-Based Framework for Secure and Efficient Federated Learning in IoV Networks: Securing V2V/V2I Communication
inferred← citeshttps://doi.org/10.3390/math12203194openalex-snapshot
Privacy-Preserving Federated Learning-Based Intrusion Detection Technique for Cyber-Physical Systems
inferred← citeshttps://doi.org/10.3390/s22020450openalex-snapshot
Federated Learning in Edge Computing: A Systematic Survey
inferred← citeshttps://doi.org/10.3390/s22165983openalex-snapshot
Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State-of-the-Art and Future Directions
inferred← citeshttps://doi.org/10.3390/s23042112openalex-snapshot
Reviewing Federated Machine Learning and Its Use in Diseases Prediction
inferred← citeshttps://doi.org/10.3390/s23052670openalex-snapshot
Intelligent Transportation Using Wireless Sensor Networks Blockchain and License Plate Recognition
inferred← citeshttps://doi.org/10.3390/s23167235openalex-snapshot
A Comprehensive Overview of IoT-Based Federated Learning: Focusing on Client Selection Methods
inferred← citeshttps://doi.org/10.35234/fumbd.1114056openalex-snapshot
Yazılım Ürün Ölçütlerinin Uygulamalı İncelenmesi
inferred← citeshttps://doi.org/10.36227/techrxiv.21788450openalex-snapshot
Combining Federated Learning and Edge Computing toward Ubiquitous Intelligence: Challenges, Recent Advances, and Future Directions
inferred← citeshttps://doi.org/10.36227/techrxiv.21788450.v1openalex-snapshot
Combining Federated Learning and Edge Computing toward Ubiquitous Intelligence: Challenges, Recent Advances, and Future Directions
inferred← citeshttps://doi.org/10.4018/978-1-6684-5250-9.ch007openalex-snapshot
The Role and Impact of Federal Learning in Digital Healthcare
inferred← citeshttps://doi.org/10.4018/979-8-3693-2081-5.ch013openalex-snapshot
Safeguarding Privacy Through Federated Machine Learning Techniques
inferred← citeshttps://doi.org/10.4274/jcrpe.galenos.2022.2022-6-4openalex-snapshot
Frequently Asked Questions and Evidence-Based Answers on Medical Nutritional Therapy in Children with Type 1 Diabetes for Health Care Professionals
inferred← citeshttps://doi.org/10.48550/arxiv.2102.07574openalex-snapshot
Machine Learning Model Development from a Software Engineering Perspective: A Systematic Literature Review
inferred← citeshttps://doi.org/10.48550/arxiv.2104.10501openalex-snapshot
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things
inferred← citeshttps://doi.org/10.48550/arxiv.2105.08867openalex-snapshot
AI and Ethics -- Operationalising Responsible AI
inferred← citeshttps://doi.org/10.5753/wgrs.2023.767openalex-snapshot
Inferência da qualidade do serviço em enlaces de rede através de um método baseado em aprendizado federado
inferred← citeshttps://doi.org/10.58190/icat.2023.33openalex-snapshot
Evaluation Framework for the Use of Privacy Preserving Technologies for Production Data
inferred← citeshttps://doi.org/10.61186/jsdp.21.3.23openalex-snapshot
A systematic review of the foundations, applications, and challenges of federated learning
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.