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Federated learning for privacy-preserving AI

https://doi.org/10.1145/3387107
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inferredcites →https://doi.org/10.1109/msec.2018.2888775openalex-snapshot
Privacy-Preserving Machine Learning: Threats and Solutions
inferredcites →https://doi.org/10.48550/arxiv.1908.11598openalex-snapshot
Rewarding High-Quality Data via Influence Functions

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inferred← citeshttps://doi.org/10.1002/9781394188932.refopenalex-snapshot
Bibliography
inferred← citeshttps://doi.org/10.1002/9781394271382.ch2openalex-snapshot
Federated Autonomous Deep Learning for Distributed Healthcare System
inferred← citeshttps://doi.org/10.1002/9781394271382.ch4openalex-snapshot
Foundations of Federated Intelligent Systems in Healthcare
inferred← citeshttps://doi.org/10.1002/9781394347124.ch16openalex-snapshot
Ethical and Technical Foundations of Privacy‐Preserving Federated Learning
inferred← citeshttps://doi.org/10.1007/978-3-030-82136-4_21openalex-snapshot
An Ensemble Fuzziness-Based Online Sequential Learning Approach and Its Application
inferred← citeshttps://doi.org/10.1007/978-3-030-91081-5_1openalex-snapshot
Distributed Computing with the Cloud
inferred← citeshttps://doi.org/10.1007/978-3-031-33488-7_22openalex-snapshot
Steal from Collaboration: Spy Attack by a Dishonest Party in Vertical Federated Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-57567-9_5openalex-snapshot
Vertical Federated Learning: Principles, Applications, and Future Frontiers
inferred← citeshttps://doi.org/10.1007/978-3-031-73290-4_4openalex-snapshot
UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks
inferred← citeshttps://doi.org/10.1007/978-3-031-80949-1_6openalex-snapshot
Privacy Protection for Medical Information in Federated Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-91331-0_18openalex-snapshot
A.R.I.S.E. Artificial Recognition and Intelligent Sign-Language Eyewear - A Multifunctional Smart Glasses System for Enhanced Accessibility and User Assistance
inferred← citeshttps://doi.org/10.1007/978-3-031-99270-4_2openalex-snapshot
Federated Learning in the Healthcare Industry
inferred← citeshttps://doi.org/10.1007/978-3-032-15784-3_30openalex-snapshot
Using Large Language Models for Medical Diagnosis: A Survey and Future Trends
inferred← citeshttps://doi.org/10.1007/978-981-95-1009-2_1openalex-snapshot
Introduction to Federated Learning
inferred← citeshttps://doi.org/10.1007/978-981-95-4155-3_39openalex-snapshot
InC: A Vertical Federated Learning Framework with Multiple Noisy Labels
inferred← citeshttps://doi.org/10.1007/978-981-95-8417-8_7openalex-snapshot
FLIDS-Mamba: Multi-Center Network Intrusion Detection Based on Federated Learning and Bidirectional State Space Model
inferred← citeshttps://doi.org/10.1007/978-981-97-5752-7_3openalex-snapshot
Verifiable Privacy-Preserving Federated Learning in Web 3.0
inferred← citeshttps://doi.org/10.1007/978-981-97-8171-3_16openalex-snapshot
Explainable and Trustworthy AI with Neuro-Symbolic Approaches
inferred← citeshttps://doi.org/10.1007/978-981-99-2264-2_12openalex-snapshot
Intrusion Detection Using Federated Learning
inferred← citeshttps://doi.org/10.1007/s00446-024-00460-wopenalex-snapshot
Distributed computing with the cloud
inferred← citeshttps://doi.org/10.1007/s00779-024-01820-wopenalex-snapshot
Intersection of machine learning and mobile crowdsourcing: a systematic topic-driven review
inferred← citeshttps://doi.org/10.1007/s10115-024-02257-6openalex-snapshot
A systematic review on federated learning system: a new paradigm to machine learning
inferred← citeshttps://doi.org/10.1007/s10115-025-02356-yopenalex-snapshot
Vertical federated learning: a structured literature review
inferred← citeshttps://doi.org/10.1007/s10462-021-10098-wopenalex-snapshot
Federated learning attack surface: taxonomy, cyber defences, challenges, and future directions
inferred← citeshttps://doi.org/10.1007/s10462-022-10271-9openalex-snapshot
Securing federated learning with blockchain: a systematic literature review
inferred← citeshttps://doi.org/10.1007/s10462-024-11036-2openalex-snapshot
Landscape of machine learning evolution: privacy-preserving federated learning frameworks and tools
inferred← citeshttps://doi.org/10.1007/s10586-026-06418-wopenalex-snapshot
Privacy-preserving lightweight intrusion detection system for agricultural IoT based on federated learning and temporal convolutional network
inferred← citeshttps://doi.org/10.1007/s10660-023-09713-5openalex-snapshot
Towards privacy-preserving digital marketing: an integrated framework for user modeling using deep learning on a data monetization platform
inferred← citeshttps://doi.org/10.1007/s10796-023-10388-4openalex-snapshot
Data Sensitivity and Domain Specificity in Reuse of Machine Learning Applications
inferred← citeshttps://doi.org/10.1007/s10844-023-00797-xopenalex-snapshot
A review of federated learning: taxonomy, privacy and future directions
inferred← citeshttps://doi.org/10.1007/s11036-022-02009-2openalex-snapshot
Resource Optimization and Device Scheduling for Flexible Federated Edge Learning with Tradeoff Between Energy Consumption and Model Performance
inferred← citeshttps://doi.org/10.1007/s11227-025-07322-7openalex-snapshot
Federated learning-based privacy-preserving Internet of Underwater Things: a vision, architecture, computing, taxonomy, and future directions
inferred← citeshttps://doi.org/10.1007/s11390-024-3702-7openalex-snapshot
Balancing Accuracy and Training Time in Federated Learning for Violence Detection in Surveillance Videos: A Study of Neural Network Architectures
inferred← citeshttps://doi.org/10.1007/s12530-026-09852-8openalex-snapshot
Scalable, interpretable, and privacy-preserving feature engineering for federated learning
inferred← citeshttps://doi.org/10.1007/s40747-023-01239-5openalex-snapshot
A federated pedestrian trajectory prediction model with data privacy protection
inferred← citeshttps://doi.org/10.1007/s44230-023-00032-4openalex-snapshot
DC-SHAP Method for Consistent Explainability in Privacy-Preserving Distributed Machine Learning
inferred← citeshttps://doi.org/10.1007/s44443-025-00172-6openalex-snapshot
TRACE: A trust-aware incentive mechanism for federated learning in IoMT
inferred← citeshttps://doi.org/10.1007/s44443-026-01110-wopenalex-snapshot
LBSFL: a lightweight robust federated learning method for IoT
inferred← citeshttps://doi.org/10.1016/b978-0-44-344433-3.00014-9openalex-snapshot
Secure federated learning with Hindmarsh-Rose encryption
inferred← citeshttps://doi.org/10.1016/b978-0-443-13897-3.00008-4openalex-snapshot
Taxonomy for federated learning in digital healthcare systems
inferred← citeshttps://doi.org/10.1016/j.apenergy.2023.120711openalex-snapshot
Federated-WDCGAN: A federated smart meter data sharing framework for privacy preservation
inferred← citeshttps://doi.org/10.1016/j.cmpb.2025.108768openalex-snapshot
Federated Learning in radiomics: A comprehensive meta-survey on medical image analysis
inferred← citeshttps://doi.org/10.1016/j.comcom.2022.09.012openalex-snapshot
Federated Learning for intrusion detection system: Concepts, challenges and future directions
inferred← citeshttps://doi.org/10.1016/j.comcom.2024.04.024openalex-snapshot
Privacy-preserving in Blockchain-based Federated Learning systems
inferred← citeshttps://doi.org/10.1016/j.comnet.2022.108906openalex-snapshot
RETRACTED: Personalized federated learning framework for network traffic anomaly detection
inferred← citeshttps://doi.org/10.1016/j.comnet.2024.110358openalex-snapshot
Security of federated learning in 6G era: A review on conceptual techniques and software platforms used for research and analysis
inferred← citeshttps://doi.org/10.1016/j.comnet.2026.112421openalex-snapshot
BVSAP: A Bidirectional Verifiable Secure Aggregation Protocol for federated learning
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2026.111514openalex-snapshot
Ollama-driven medical insights using LLMs with a federated learning approach
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2022.102139openalex-snapshot
Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images
inferred← citeshttps://doi.org/10.1016/j.cose.2024.103801openalex-snapshot
A review on client-server attacks and defenses in federated learning
inferred← citeshttps://doi.org/10.1016/j.cose.2025.104473openalex-snapshot
Privacy preservation techniques through data lifecycle: A comprehensive literature survey
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121390openalex-snapshot
FedEL: Federated ensemble learning for non-iid data
inferred← citeshttps://doi.org/10.1016/j.future.2023.09.008openalex-snapshot
Model aggregation techniques in federated learning: A comprehensive survey
inferred← citeshttps://doi.org/10.1016/j.future.2024.107500openalex-snapshot
Cybersecurity for tactical 6G networks: Threats, architecture, and intelligence
inferred← citeshttps://doi.org/10.1016/j.heliyon.2023.e16925openalex-snapshot
Benchmarking federated strategies in Peer-to-Peer Federated learning for biomedical data
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102756openalex-snapshot
FairDPFL-SCS: Fair Dynamic Personalized Federated Learning with strategic client selection for improved accuracy and fairness
inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104733openalex-snapshot
PRSL: Privacy-preserving and robust split learning for multi-source embedding fusion
inferred← citeshttps://doi.org/10.1016/j.ipm.2026.104973openalex-snapshot
SADFL: Spectral Anomaly Detection with adversarial learning in Federated Learning for defending malicious client attacks
inferred← citeshttps://doi.org/10.1016/j.jik.2025.100762openalex-snapshot
Comprehending the theoretical knowledge and practice around AI-enabled innovations in the finance sector
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.knosys.2022.109929openalex-snapshot
FedStack: Personalized activity monitoring using stacked federated learning
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.2026.115452openalex-snapshot
FedPDM: Representation enhanced federated learning with privacy preserving diffusion models
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116112openalex-snapshot
FedHMed: Adaptive progressive loss and KL-divergence regularization for federated heterogeneous medical image classification tasks
inferred← citeshttps://doi.org/10.1016/j.rineng.2025.106484openalex-snapshot
Health-FedNet: A privacy-preserving federated learning framework for scalable and secure healthcare analytics
inferred← citeshttps://doi.org/10.1016/j.scs.2021.103663openalex-snapshot
Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions
inferred← citeshttps://doi.org/10.1051/epjconf/202532801066openalex-snapshot
Privacy-Preserving Federated Learning in Healthcare, E-Commerce, and Finance: A Taxonomy of Security Threats and Mitigation Strategies
inferred← citeshttps://doi.org/10.1080/21680566.2025.2601598openalex-snapshot
Privacy-aware pedestrian trajectory prediction with dual-channel destination guidance and multi-factor aggregation federated learning
inferred← citeshttps://doi.org/10.1080/23270012.2026.2640589openalex-snapshot
Fhepdm: Fully Homomorphic Encryption Secured Collaborative Anomaly Detection in Wind Turbines Predictive Maintenance
inferred← citeshttps://doi.org/10.1089/apb.2023.0031openalex-snapshot
Biosecurity Risk Assessment for the Use of Artificial Intelligence in Synthetic Biology
inferred← citeshttps://doi.org/10.1109/access.2024.3429205openalex-snapshot
Secure and Scalable Blockchain-Based Federated Learning for Cryptocurrency Fraud Detection: A Systematic Review
inferred← citeshttps://doi.org/10.1109/access.2024.3454211openalex-snapshot
Privacy-Preserving Federated Learning for Intrusion Detection in IoT Environments: A Survey
inferred← citeshttps://doi.org/10.1109/access.2025.3593953openalex-snapshot
A Comprehensive Review of Cryptographic Techniques in Federated Learning for Secure Data Sharing and Applications
inferred← citeshttps://doi.org/10.1109/acroset62108.2024.10743243openalex-snapshot
Advancements and Challenges in Federated Learning : A Survey
inferred← citeshttps://doi.org/10.1109/acroset66531.2025.11281244openalex-snapshot
Wheat Leaf Rust Recognition using Deep Learning and Federated Learning
inferred← citeshttps://doi.org/10.1109/bcca62388.2024.10844498openalex-snapshot
AIChain
inferred← citeshttps://doi.org/10.1109/bcca66705.2025.11229649openalex-snapshot
Decentralized Intelligence
inferred← citeshttps://doi.org/10.1109/bibm66473.2025.11356719openalex-snapshot
PFL-MD: A Privacy-Preserving Federated Learning Framework for Melanoma Diagnosis with Multiple Party Fully Homomorphic Encryption
inferred← citeshttps://doi.org/10.1109/bibm66473.2025.11356933openalex-snapshot
High Performance Computing Framework for Secure Variable Selection on Genome-Wide Association Studies with Adaptive Vertical Federated Learning
inferred← citeshttps://doi.org/10.1109/bigdata62323.2024.10825545openalex-snapshot
Defending Against Inference and Backdoor Attacks in Vertical Federated Learning via Mutual Information Regularization
inferred← citeshttps://doi.org/10.1109/bigdia56350.2022.9874186openalex-snapshot
Towards Method of Horizontal Federated Learning: A Survey
inferred← citeshttps://doi.org/10.1109/cloudnet59005.2023.10490054openalex-snapshot
Advanced Federated Learning-Empowered Edge-Cloud Framework for School Safety Prediction and Emergency Alert System
inferred← citeshttps://doi.org/10.1109/comst.2022.3221119openalex-snapshot
A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges
inferred← citeshttps://doi.org/10.1109/dasc/picom/cbdcom/cy59711.2023.10361373openalex-snapshot
Federated Learning for Medical Images Analysis: A Meta Survey
inferred← citeshttps://doi.org/10.1109/eais58494.2024.10570000openalex-snapshot
Privacy‐preserving distributed learning with chaotic maps
inferred← citeshttps://doi.org/10.1109/flta63145.2024.10839973openalex-snapshot
Privacy-Preserving Secure Distributed Computer Vision for Malaria Cells Detection
inferred← citeshttps://doi.org/10.1109/gcwkshps68340.2025.11591201openalex-snapshot
VFLDiff: Pretrained Vertical Federated Learning with Diffusion Model for Mobile Edge Computing
inferred← citeshttps://doi.org/10.1109/globecom54140.2023.10437261openalex-snapshot
Efficient Sample Alignment with Fast Polynomial Interpolation for Vertical Federated Learning
inferred← citeshttps://doi.org/10.1109/icadcs70036.2026.11583319openalex-snapshot
Secure Multi Party Computation and Transformer Models for Transparent Public Service Workflows
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/icccn69946.2026.11662898openalex-snapshot
Rethinking the Transferable Adversarial Attacks and Robust Defense in Federated Learning
inferred← citeshttps://doi.org/10.1109/iccd56317.2022.00097openalex-snapshot
Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems
inferred← citeshttps://doi.org/10.1109/iccv51701.2025.00388openalex-snapshot
Personalized Federated Learning Under Local Supervision
inferred← citeshttps://doi.org/10.1109/icisc65841.2025.11187566openalex-snapshot
Blockchain-Enabled Federated Learning for Privacy-Preserving AI
inferred← citeshttps://doi.org/10.1109/icmlt65785.2025.11193246openalex-snapshot
Federated Class-Incremental Learning: A Survey
inferred← citeshttps://doi.org/10.1109/infocom59046.2026.11571221openalex-snapshot
Decentralizing Compressed Sensing for Federated Learning with Hardware–Software Codesign
inferred← citeshttps://doi.org/10.1109/issre55969.2022.00028openalex-snapshot
Federated Learning for Tabular Data: Exploring Potential Risk to Privacy
inferred← citeshttps://doi.org/10.1109/jiot.2023.3329061openalex-snapshot
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
inferred← citeshttps://doi.org/10.1109/jiot.2026.3657733openalex-snapshot
Paradigm Shift Toward Distributed Learning in IoT Intelligence: A Comprehensive Survey of Opportunities and Challenges
inferred← citeshttps://doi.org/10.1109/jproc.2023.3306773openalex-snapshot
Trusted AI in Multiagent Systems: An Overview of Privacy and Security for Distributed Learning
inferred← citeshttps://doi.org/10.1109/ojcoms.2024.3438264openalex-snapshot
Trustworthy Federated Learning: A Comprehensive Review, Architecture, Key Challenges, and Future Research Prospects
inferred← citeshttps://doi.org/10.1109/ojcs.2025.3590102openalex-snapshot
Optimizing Federated Learning With Aggregation Strategies: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1109/smc53654.2022.9945430openalex-snapshot
A Distributed Cooperative Co-Evolutionary Algorithm Based on Ring Network for Distributed Large-Scale Optimization
inferred← citeshttps://doi.org/10.1109/smc53992.2023.10394342openalex-snapshot
Metaverse-Driven Drone Edge Intelligence in B5G: A Conceptual Framework for Empowering CPSS
inferred← citeshttps://doi.org/10.1109/srds69199.2025.00044openalex-snapshot
LEA: Label Enumeration Attack in Vertical Federated Learning
inferred← citeshttps://doi.org/10.1109/swc57546.2023.10449003openalex-snapshot
A Communication-Efficient Vertical Federated Learning via Neuron Selection
inferred← citeshttps://doi.org/10.1109/syscon64521.2025.11014800openalex-snapshot
FCS: A Fault-Tolerance Asynchronous Federated Learning System with Model Checkpoint Storage
inferred← citeshttps://doi.org/10.1109/tai.2024.3433419openalex-snapshot
Communication-Efficient Federated Learning for Decision Trees
inferred← citeshttps://doi.org/10.1109/tbdata.2022.3186991openalex-snapshot
MarS-FL: Enabling Competitors to Collaborate in Federated Learning
inferred← citeshttps://doi.org/10.1109/tbdata.2022.3190835openalex-snapshot
Privacy-Preserving Aggregation in Federated Learning: A Survey
inferred← citeshttps://doi.org/10.1109/tcss.2023.3263241openalex-snapshot
A Privacy-Aware and Incremental Defense Method Against GAN-Based Poisoning Attack
inferred← citeshttps://doi.org/10.1109/tcss.2025.3603719openalex-snapshot
FedSCOPE: A Comprehensive Evaluation Framework for Federated Learning in Human-Centered Social Computing
inferred← citeshttps://doi.org/10.1109/tdsc.2022.3208630openalex-snapshot
Your Labels are Selling You Out: Relation Leaks in Vertical Federated Learning
inferred← citeshttps://doi.org/10.1109/tdsc.2023.3321565openalex-snapshot
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning
inferred← citeshttps://doi.org/10.1109/tdsc.2025.3595518openalex-snapshot
General Test-Time Backdoor Detection in Split Neural Network-Based Vertical Federated Learning
inferred← citeshttps://doi.org/10.1109/tetc.2023.3320758openalex-snapshot
A Chaotic Maps-Based Privacy-Preserving Distributed Deep Learning for Incomplete and Non-IID Datasets
inferred← citeshttps://doi.org/10.1109/tfuzz.2021.3118733openalex-snapshot
Horizontal Federated Learning of Takagi–Sugeno Fuzzy Rule-Based Models
inferred← citeshttps://doi.org/10.1109/tifs.2024.3498464openalex-snapshot
Attackers Are Not the Same! Unveiling the Impact of Feature Distribution on Label Inference Attacks
inferred← citeshttps://doi.org/10.1109/tifs.2025.3534469openalex-snapshot
Privacy for Free: Spy Attack in Vertical Federated Learning by Both Active and Passive Parties
inferred← citeshttps://doi.org/10.1109/tifs.2025.3555794openalex-snapshot
Private Sample Alignment for Vertical Federated Learning: An Efficient and Reliable Realization
inferred← citeshttps://doi.org/10.1109/tkde.2024.3352628openalex-snapshot
Vertical Federated Learning: Concepts, Advances, and Challenges
inferred← citeshttps://doi.org/10.1109/tmc.2023.3332637openalex-snapshot
Towards Hierarchical Clustered Federated Learning With Model Stability on Mobile Devices
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3160699openalex-snapshot
Towards Personalized Federated Learning
inferred← citeshttps://doi.org/10.1109/tnnls.2026.3655587openalex-snapshot
Cross-Image Federated Learning for Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.1109/tnse.2025.3582366openalex-snapshot
Client Association and Resource Allocation for NOMA-Enabled Hierarchical Federated Learning With Non-IID Data
inferred← citeshttps://doi.org/10.1109/tpami.2024.3457751openalex-snapshot
Federated Feature Augmentation and Alignment
inferred← citeshttps://doi.org/10.1109/tpds.2024.3413718openalex-snapshot
High-Performance Hardware Acceleration Architecture for Cross-Silo Federated Learning
inferred← citeshttps://doi.org/10.1109/tsp.2023.3322848openalex-snapshot
Clustered Federated Learning via Generalized Total Variation Minimization
inferred← citeshttps://doi.org/10.1109/tsp.2025.3540655openalex-snapshot
Communication-Efficient Vertical Federated Learning via Compressed Error Feedback
inferred← citeshttps://doi.org/10.1109/tsp.2026.3652487openalex-snapshot
A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning
inferred← citeshttps://doi.org/10.1109/tvt.2023.3313593openalex-snapshot
Metadata and Image Features Co-Aware Semi-Supervised Vertical Federated Learning With Attention Mechanism
inferred← citeshttps://doi.org/10.1142/s0218126624500488openalex-snapshot
NIDS-FLGDP: Network Intrusion Detection Algorithm Based on Gaussian Differential Privacy Federated Learning
inferred← citeshttps://doi.org/10.1145/3457337.3457842openalex-snapshot
DecFL: An Ubiquitous Decentralized Model Training Protocol and Framework Empowered by Blockchain
inferred← citeshttps://doi.org/10.1145/3486626.3493439openalex-snapshot
Federated cooperative detection of anomalous vehicle trajectories at intersections
inferred← citeshttps://doi.org/10.1145/3501296openalex-snapshot
Federated Learning for Smart Healthcare: A Survey
inferred← citeshttps://doi.org/10.1145/3627703.3629563openalex-snapshot
Accelerating Privacy-Preserving Machine Learning With GeniBatch
inferred← citeshttps://doi.org/10.1145/3629188.3629197openalex-snapshot
Disparity-Aware Federated Learning for Intrusion Detection Systems in Imbalanced Non-IID Settings
inferred← citeshttps://doi.org/10.1145/3637528.3671663openalex-snapshot
Preventing Strategic Behaviors in Collaborative Inference for Vertical Federated Learning
inferred← citeshttps://doi.org/10.1145/3650028openalex-snapshot
Belt and Braces: When Federated Learning Meets Differential Privacy
inferred← citeshttps://doi.org/10.1145/3720539openalex-snapshot
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey
inferred← citeshttps://doi.org/10.1145/3728314openalex-snapshot
Tree-based Models for Vertical Federated Learning: A Survey
inferred← citeshttps://doi.org/10.1145/3728466openalex-snapshot
Privacy Meets Performance: Enhancing Distributed Simulation-based Federated Multi-agent Learning with Privacy-preserving Surrogate Model
inferred← citeshttps://doi.org/10.1145/3800684openalex-snapshot
Systematic Literature Review on Differential Privacy in Machine Learning
inferred← citeshttps://doi.org/10.1145/3807246.3807328openalex-snapshot
A Robust Horizontal Federated Learning Framework Based on Trimmed K-Means and Homomorphic Encryption
inferred← citeshttps://doi.org/10.1155/2021/3344862openalex-snapshot
Utility Optimization of Federated Learning with Differential Privacy
inferred← citeshttps://doi.org/10.14778/3514061.3514064openalex-snapshot
Hu-Fu
inferred← citeshttps://doi.org/10.19139/soic-2310-5070-2398openalex-snapshot
From Extraction to Reasoning: A Systematic Review of Algorithms in Multi-Document Summarization and QA
inferred← citeshttps://doi.org/10.20517/rdodj.2023.16openalex-snapshot
Federated learning for rare disease detection: a survey
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1891162/v1openalex-snapshot
Restrictively Self-sampled and Compressed Local Differential Privacy in Federated Learning
inferred← citeshttps://doi.org/10.21203/rs.3.rs-9967934/v1openalex-snapshot
Data Sovereignty and Algorithmic Dependency in the Global South: A Systematic Review of Foundation Model Governance, Digital Inequity, and Decolonial Artificial Intelligence Frameworks
inferred← citeshttps://doi.org/10.2139/ssrn.5381013openalex-snapshot
July 2025 - Top 10 Read Articles in International Journal of Software Engineering & Applications (IJSEA)
inferred← citeshttps://doi.org/10.2174/9798898813871126010010openalex-snapshot
Trust in the Loop: Building and Maintaining Human Trust in AI Collaborative Systems
inferred← citeshttps://doi.org/10.24415/9789087284084openalex-snapshot
Towards a data-driven military. A multi-disciplinary perspective
inferred← citeshttps://doi.org/10.26481/dis.20221114csopenalex-snapshot
Privacy-preserving personal data analysis
inferred← citeshttps://doi.org/10.3233/ds-210036openalex-snapshot
A systematic review on privacy-preserving distributed data mining
inferred← citeshttps://doi.org/10.32604/cmc.2023.039487openalex-snapshot
A Blockchain-Assisted Distributed Edge Intelligence for Privacy-Preserving Vehicular Networks
inferred← citeshttps://doi.org/10.32604/cmes.2024.055596openalex-snapshot
SensFL: Privacy-Preserving Vertical Federated Learning with Sensitive Regularization
inferred← citeshttps://doi.org/10.32628/cseit251112176openalex-snapshot
Learning from AI Failures: A Critical Analysis of Enterprise AI Implementation
inferred← citeshttps://doi.org/10.32628/cseit25111297openalex-snapshot
Securing Enterprise AI: Protecting Sensitive Data in the Age of ChatGPT
inferred← citeshttps://doi.org/10.32657/10356/163792openalex-snapshot
Towards practical data-driven predictive maintenance: a robust and generalizable deep learning approach
inferred← citeshttps://doi.org/10.32657/10356/167272openalex-snapshot
MPC-enabled privacy-preserving machine learning
inferred← citeshttps://doi.org/10.32657/10356/172499openalex-snapshot
Enabling efficient edge intelligence: a hardware-software codesign approach
inferred← citeshttps://doi.org/10.3389/fcomp.2026.1779096openalex-snapshot
Scalable multi-metric association rule learning for explainable book recommendations
inferred← citeshttps://doi.org/10.3389/frai.2023.1224529openalex-snapshot
Editorial: Information extraction for health documents
inferred← citeshttps://doi.org/10.3389/frai.2026.1686454openalex-snapshot
Both ends of artificial intelligence impacting privacy: a review of violation and protection
inferred← citeshttps://doi.org/10.3390/app12189124openalex-snapshot
Federated Learning for Edge Computing: A Survey
inferred← citeshttps://doi.org/10.3390/bdcc6040127openalex-snapshot
Applications and Challenges of Federated Learning Paradigm in the Big Data Era with Special Emphasis on COVID-19
inferred← citeshttps://doi.org/10.3390/electronics11101624openalex-snapshot
Blockchain-Enabled: Multi-Layered Security Federated Learning Platform for Preserving Data Privacy
inferred← citeshttps://doi.org/10.3390/electronics12224633openalex-snapshot
FLIBD: A Federated Learning-Based IoT Big Data Management Approach for Privacy-Preserving over Apache Spark with FATE
inferred← citeshttps://doi.org/10.3390/electronics14244952openalex-snapshot
Blockchain-Based Fraud Detection: A Comparative Systematic Literature Review of Federated Learning and Machine Learning Approaches
inferred← citeshttps://doi.org/10.3390/fi14090246openalex-snapshot
Federated Learning and Its Role in the Privacy Preservation of IoT Devices
inferred← citeshttps://doi.org/10.3390/su18179022openalex-snapshot
Research on Green Supply Chain Financing Problems Empowered by Federated Learning and Blockchain
inferred← citeshttps://doi.org/10.36227/techrxiv.14685696openalex-snapshot
Networked Federated Multi-Task Learning
inferred← citeshttps://doi.org/10.36227/techrxiv.14685696.v1openalex-snapshot
Networked Federated Multi-Task Learning
inferred← citeshttps://doi.org/10.37648/ijps.v17i01.023openalex-snapshot
An Analysis Of The Comparative Performance Of AI Tools And Techniques In Effective Fraud Detection Across Digital Payment Ecosystems
inferred← citeshttps://doi.org/10.3934/mfc.2023026openalex-snapshot
Federated learning for minimizing nonsmooth convex loss functions
inferred← citeshttps://doi.org/10.4018/979-8-3373-8352-1.ch007openalex-snapshot
Hybrid Agile Method for Implementing Blockchain-Based Federated Learning in AI-Powered Universities
inferred← citeshttps://doi.org/10.4018/979-8-3693-1082-3.ch005openalex-snapshot
Recent Trends of Federated Learning for Smart Healthcare Systems
inferred← citeshttps://doi.org/10.4018/979-8-3693-1874-4.ch009openalex-snapshot
Federated Learning for Privacy Preservation in Healthcare
inferred← citeshttps://doi.org/10.4018/979-8-3693-9919-4.ch002openalex-snapshot
Proactively Approaching Cybersecurity With AI-Powered Malware Detection Is Essential
inferred← citeshttps://doi.org/10.48550/arxiv.2101.05428openalex-snapshot
Federated Learning: Opportunities and Challenges
inferred← citeshttps://doi.org/10.48550/arxiv.2108.12978openalex-snapshot
Private Multi-Task Learning: Formulation and Applications to Federated Learning
inferred← citeshttps://doi.org/10.5121/ijsea.2022.13401openalex-snapshot
Federated Learning for Privacy-Preserving: A Review of PII Data Analysis in Fintech
inferred← citeshttps://doi.org/10.52783/jisem.v10i35s.5921openalex-snapshot
Federated Learning and Explainable AI for Decentralized Fraud Detection in Financial Systems
inferred← citeshttps://doi.org/10.70731/1178nq90openalex-snapshot
Privacy-Preserving and Trustworthy AI Infrastructures for Digital Commerce
inferred← citeshttps://doi.org/10.9790/1684-2105023644openalex-snapshot
Federated Learning for Secure and Privacy-Preserving Medical Collaboration Across Multi-Cloud Healthcare Systems
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.