Exploring privacy measurement in federated learning

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Federated Learning With Differential Privacy: Algorithms and Performance Analysis

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Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

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Federated Learning for Internet of Things: A Comprehensive Survey

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Secure, privacy-preserving and federated machine learning in medical imaging

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A survey on security and privacy of federated learning

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Artificial intelligence and statistics

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A Hybrid Approach to Privacy-Preserving Federated Learning

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Data Poisoning Attacks Against Federated Learning Systems

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Federated Learning for Internet of Things: A Comprehensive Survey

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A firm foundation for private data analysis

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Federated learning meets blockchain in edge computing: Opportunities and challenges

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

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Differential Privacy for Deep and Federated Learning: A Survey

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Privacy Preserving Machine Learning with Homomorphic Encryption and Federated Learning

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Machine Learning: An Advanced Platform for Materials Development and State Prediction in Lithium‐Ion Batteries

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Privacy preservation in federated learning: An insightful survey from the GDPR perspective

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An Energy-Efficient SDN Controller Architecture for IoT Networks With Blockchain-Based Security

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PPFL

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PySyft: A Library for Easy Federated Learning

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Applications of federated learning in smart cities: recent advances, taxonomy, and open challenges

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The Privacy Blanket of the Shuffle Model

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Secure Multiparty Computation for Privacy Preserving Data Mining

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MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients

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Block Hunter: Federated Learning for Cyber Threat Hunting in Blockchain-Based IIoT Networks

Yazdinejad, A., Dehghantanha, A., Parizi, R. M., Hammoudeh, M. A. A., Karimipour, H., & Srivastava, G. (2022) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2022.3168011 · Cited by 201 · see citing works

A training-integrity privacy-preserving federated learning scheme with trusted execution environment

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Achieving security and privacy in federated learning systems: Survey, research challenges and future directions

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POSEIDON: Privacy-Preserving Federated Neural Network Learning

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Open-Source Federated Learning Frameworks for IoT: A Comparative Review and Analysis

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Improving Internet of Things (IoT) Security with Software-Defined Networking (SDN)

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Federated learning for drone authentication

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Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case

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AP2FL: Auditable Privacy-Preserving Federated Learning Framework for Electronics in Healthcare

Yazdinejad, A., Dehghantanha, A., & Srivastava, G. (2024) · IEEE transactions on consumer electronics · doi:10.1109/tce.2023.3318509 · Cited by 117 · see citing works

FedIPR: Ownership Verification for Federated Deep Neural Network Models

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Communication-Efficient and Cross-Chain Empowered Federated Learning for Artificial Intelligence of Things

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A Review of Privacy-Preserving Federated Learning for the Internet-of-Things

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An optimized fuzzy deep learning model for data classification based on NSGA-II

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Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation

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Efficient design and hardware implementation of the OpenFlow v1.3 Switch on the Virtex-6 FPGA ML605

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A Software Architecture for the Industrial Internet of Things—A Conceptual Model

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How Much Privacy Does Federated Learning with Secure Aggregation Guarantee?

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Blockchain-Enabled Federated Learning: A Reference Architecture Design, Implementation, and Verification

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Cluster Based Secure Multi-party Computation in Federated Learning for Histopathology Images

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An efficient packet parser architecture for software-defined 5G networks

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SteelEye: An Application-Layer Attack Detection and Attribution Model in Industrial Control Systems using Semi-Deep Learning

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Similarity and diversity induced paired projection for cross-modal retrieval

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Adaptive Resource Allocation in Quantum Key Distribution (QKD) for Federated Learning

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Secure Multi-party Computation in Federated Learning

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A Data-driven Adaptive Controller Reconfiguration for Fault Mitigation: A Passivity Approach

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Cluster-Based Secure Aggregation for Federated Learning

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omadson/fuzzy-c-means: 0.0.4

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A Distributed Threshold Additive Homomorphic Encryption for Federated Learning with Dropout Resiliency Based on Lattice

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The Impact of Differential Privacy on Model Fairness in Federated Learning

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CloudFL: A Zero-Touch Federated Learning Framework for Privacy-aware Sensor Cloud

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FlowChain: The Playground for Federated Learning in Industrial Internet of Things Environments

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Privacy-Preserving Federated Learning with Hierarchical Clustering to Improve Training on Non-IID Data

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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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Hybrid Privacy Preserving Federated Learning Against Irregular Users in Next-Generation Internet of Things

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Federated Quantum-Based Privacy-Preserving Threat Detection Model for Consumer Internet of Things

Namakshenas, D., Yazdinejad, A., Dehghantanha, A., & Srivastava, G. (2024) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2024.3377550 · Cited by 75 · see citing works

Blockchain-Based Federated Learning: A Survey and New Perspectives

Ning, W., Zhu, Y., Song, C., Li, H., Zhu, L., Xie, J., Chen, T., Xu, T., Xi, X., & Gao, J. (2024) · Applied Sciences · doi:10.3390/app14209459 · Cited by 78 · see citing works

IP2FL: Interpretation-Based Privacy-Preserving Federated Learning for Industrial Cyber-Physical Systems

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Advances in Federated Learning: Applications and Challenges in Smart Building Environments and Beyond

Berkani, M. R. A., Chouchane, A., Himeur, Y., Ouamane, A., Miniaoui, S., Atalla, S., Mansoor, W., & Al-Ahmad, H. (2025) · Computers · doi:10.3390/computers14040124 · Cited by 63 · see citing works

Blockchain-Based Privacy-Enhancing Federated Learning in Smart Healthcare: A Survey

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Quantum federated learning: a comprehensive literature review of foundations, challenges, and future directions

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Leveraging LSTM and GRU-based deep neural coordination in intelligent transportation to strengthen security in the Internet of Vehicles

Yanmin, C., Sarkar, A., Zain, J. M., Bhar, A., Noorwali, A., & Othman, K. M. (2024) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-024-02401-2 · Cited by 21 · see citing works

A systematic literature review of security and privacy by design principles, norms, and strategies for digital technologies

Del‐Real, C., Busser, E. D., & van den Berg, B. (2025) · International Review of Law Computers & Technology · doi:10.1080/13600869.2025.2457227 · Cited by 21 · see citing works

Enhancing security in financial transactions: a novel blockchain-based federated learning framework for detecting counterfeit data in fintech

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Robust biometric identity authentication scheme using quantum voice encryption and quantum secure direct communications for cybersecurity

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Privacy-Aware Hierarchical Federated Learning in Healthcare: Integrating Differential Privacy and Secure Multi-Party Computation

Singh, J. P., Aqsa, A., Ghani, I., Sonani, R., & Govindarajan, V. (2025) · Future Internet · doi:10.3390/fi17080345 · Cited by 16 · see citing works

Federated Learning: Concepts, Challenges and Implementation

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Architectural tactics to achieve quality attributes of machine-learning-enabled systems: a systematic literature review

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Enhancing Internet of Things Intrusion Detection Using Artificial Intelligence

Bar, S., Prasad, P. W. C., & Sayeed, M. S. (2024) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2024.053861 · Cited by 10 · see citing works

Exploring AI and quantum computing synergies in holographic counterpart frameworks for IoT security and privacy

Alzahrani, A. I. A. (2025) · The Journal of Supercomputing · doi:10.1007/s11227-025-07682-0 · Cited by 9 · see citing works

Federal Deep Learning Approach of Intrusion Detection System for In-Vehicle Communication Network Security

Na, I. S., Haldorai, A., & Naik, N. (2024) · IEEE Access · doi:10.1109/access.2024.3521661 · Cited by 8 · see citing works

Enhancing security in software defined networks: Privacy-preserving intrusion detection with Homomorphic Encryption

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Distributed machine learning based on quantum cloud with quantum homomorphic encryption

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ROCHE: A Robust and End-to-End Privacy-Preserving Federated Learning Framework for Intrusion Detection in Industrial Internet of Things

Soomro, I. A., Rehman, H. U., Hussain, S. J., Latif, S., Mujlid, H. M., Mohsin, S. M., & Maple, C. R. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3612944 · Cited by 8 · see citing works

Interplay of ML and blockchain for secure Internet of Military Vehicles communication underlying 5G

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Privacy-Preserving Large-Scale AI Models for Intelligent Railway Transportation Systems: Hierarchical Poisoning Attacks and Defenses in Federated Learning

Zhu, Y., Chong, L., Chen, C., Lyu, X., Chen, Z., Wang, B., Hu, F., Li, H., Dai, J., Cai, B., et al. (2024) · Computer Modeling in Engineering & Sciences · doi:10.32604/cmes.2024.054820 · Cited by 7 · see citing works

Privacy-by-design AIoT vision for intelligent urban environments

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Phase-Adaptive Federated Learning for Privacy-Preserving Personalized Travel Itinerary Generation

Chen, X., Zhang, H., & Wong, C. U. I. (2025) · Tourism and Hospitality · doi:10.3390/tourhosp6020100 · Cited by 6 · see citing works

A Privacy-Preserving Federated Learning Framework for Financial Crime

Haseeb, A., Ekerete, I., & Moore, S. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-77571-0_70 · Cited by 6 · see citing works

SGAN-RA: Reconstruction Attack for Big Model in Asynchronous Federated Learning

Wang, K., Zhang, H., Kaddoum, G., Shin, H., Quek, T. Q. S., & Win, M. Z. (2025) · IEEE Communications Magazine · doi:10.1109/mcom.001.2400062 · Cited by 5 · see citing works

Semi-supervised correntropy-based non-negative matrix factorization with hypergraph regularization

Luo, M., Li, S., Tao, J., & Vladimirovich, P. P. (2025) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-024-02523-7 · Cited by 4 · see citing works

Enhancing the Resilience of a Federated Learning Global Model Using Client Model Benchmark Validation

Venčkauskas, A., Toldinas, J., Morkevičius, N., Serkovas, E., & Krištaponis, M. (2025) · Electronics · doi:10.3390/electronics14061215 · Cited by 3 · see citing works

Hybrid clustering-guided federated learning for robust intrusion detection in highly heterogeneous IoT environments

García-Sáez, L. M., Ruiz-Villafranca, S., Roldán-Gómez, J., Carrillo-Mondéjar, J., & Martínez, J. L. (2026) · Computer Networks · doi:10.1016/j.comnet.2026.112205 · Cited by 2 · see citing works

FairEquityFL – A Fair and Equitable Client Selection in Federated Learning for Heterogeneous IoV Networks

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Efficient federated learning via aggregation of base models

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Large Language Models Training, Challenges, Applications, and DevelopmentPreprint

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Whiskey: Large-Scale Identification of Mobile Mini-App Session Key Leakage With LLMs

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Federated Learning for Secure and Resilient AI Systems

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Coupled tensor train decomposition in federated learning

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Advancements and Challenges in Federated Learning for Privacy-Preserving Smart Healthcare: A Review

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Toward brain magnetic resonance imaging analysis intelligence: A review of federated learning and visual foundation models

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Machine Learning Model Training Acceleration and Optimization Methods for Large-scale Datasets

Li, X., Feng, H., Pan, T., & Wu, X. (2024) · International Conference on Distributed Systems, Computer Networks and Cybersecurity (ICDSCNC) · doi:10.1109/icdscnc62492.2024.10939849

Enhancing Students’ Speaking Skills through English Area Program at Islamic Boarding Schools

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Research on the Recovery Strategy of Federated Learning Model Based on Zero-Knowledge Proof

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Efficient Privacy-Preserving Federated Learning for Consumer Electronics Using Proxy Re-Encryption

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Mitigating AI security threats: Why the G7 should embrace ‘federated learning’

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Enhancing Privacy and Robustness in Federated Learning with Local Data Distribution Invariance and Byzantine-Resilient Aggregation

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A Survey of Federated Learning Architectures and Challenges for Intrusion Detection in Automotive Cybersecurity

Selvarani, S., & D, M. R. (2025) · International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS) · doi:10.1109/csitss67709.2025.11295031

Distributed Intelligent Home Appliance User Privacy Protection and Data Communication Optimization Based on Federated Learning

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Reliable and privacy-preserving collaborative AI in multi-tier distributed architectures

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AFPA: Collusion-Based Adaptive Frequency Model Poisoning Attack Against Asynchronous Federated Learning

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Advanced Federated Learning-Based Customer Analysis Model with Improved Wild Geese Migration Optimization for Providing New Products and Services

Subramanian, R. S., Lydia, A., Aswini, J., & Kothandapani, S. (2026) · International Journal of Computational Intelligence Systems · doi:10.1007/s44196-026-01302-2

Federated Learning: A Comprehensive Review of Methods, Challenges, Applications and Trends

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Privacy Preserving using Decentralized Federated Learning with Partial Dense-layer Weight Sharing

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Dual-personalized federated fast convergence model for efficient service recommendation

Fan, D., Liang, S., Han, L., Zhang, J., Zhuang, J., & Wu, J. (2026) · International Journal of Intelligent Networks · doi:10.1016/j.ijin.2026.07.005

Federated Learning Trade-Offs: A Systematic Review of Privacy Protection and Performance Optimization

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Exploring privacy mechanisms and metrics in federated learning

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

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Federated Learning for Distributed AI SystemsPreprint

Tobin, L., Gallus, S., & Marina, R. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5162425

Balancing privacy and performance in federated learning: A systematic literature review on methods and metrics

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