Browse studies, page 359

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• SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated Learning arXiv, 2024
• Uncertainty-Aware Federated Learning for Infant Movement Analysis arXiv, 2026
• Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations arXiv, 2020
• Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications arXiv, 2024
• WAFFLE: Weighted Averaging for Personalized Federated Learning arXiv, 2021
• Think Locally, Act Globally: Federated Learning with Local and Global Representations arXiv, 2020
• Towards Federated Long-Tailed Learning arXiv, 2022
• Fed-Focal Loss for imbalanced data classification in Federated Learning arXiv, 2020
• FinP: Fairness-in-Privacy in Federated Learning by Addressing Disparities in Privacy Risk arXiv, 2025
• FedHealth 2: Weighted Federated Transfer Learning via Batch Normalization for Personalized Healthcare arXiv, 2021
• Advancements of federated learning towards privacy preservation: from federated learning to split learning arXiv, 2020
• Contribution Evaluation in Federated Learning: Examining Current Approaches arXiv, 2023
• Defending against Reconstruction Attack in Vertical Federated Learning arXiv, 2021
• Distribution-Controlled Client Selection to Improve Federated Learning Strategies arXiv, 2025
• Cluster Based Secure Multi-Party Computation in Federated Learning for Histopathology Images arXiv, 2022
• PPFL-RDSN: Privacy-Preserving Federated Learning-based Residual Dense Spatial Networks for Encrypted Lossy Image Reconstruction 2025 IEEE 7th International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS-ISA), pp. 21-31, 2025, 2025
• Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator arXiv, 2019
• Seamless Integration: Sampling Strategies in Federated Learning Systems arXiv, 2024
• Distribution-Free Federated Learning with Conformal Predictions arXiv, 2021
• Beyond Trade-offs: A Unified Framework for Privacy, Robustness, and Communication Efficiency in Federated Learning arXiv, 2025
• MammoFL: Mammographic Breast Density Estimation using Federated Learning arXiv, 2022
• Client Adaptation improves Federated Learning with Simulated Non-IID Clients arXiv, 2020
• GuidaPA: Privacy-Preserving Chatbot for Public Administration via Federated Learning arXiv, 2026
• Incentive-Based Federated Learning: Architectural Elements and Future Directions arXiv, 2025
• FAT: Federated Adversarial Training arXiv, 2020
• FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity arXiv, 2025
• Federated Learning With Individualized Privacy Through Client Sampling 10th International Conference on Machine Learning Technologies (ICMLT 2025), 2025
• FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare arXiv, 2019
• Quantum Federated Learning Experiments in the Cloud with Data Encoding arXiv, 2024
• Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention arXiv, 2020
• Federated Learning with Unbiased Gradient Aggregation and Controllable Meta Updating arXiv, 2019
• Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data arXiv, 2022
• Momentum Gradient Descent Federated Learning with Local Differential Privacy arXiv, 2022
• Efficient Vertical Federated Learning with Secure Aggregation arXiv, 2023
• Towards Quantum Federated Learning arXiv, 2023
• Semantic-Constrained Federated Aggregation: Convergence Theory and Privacy-Utility Bounds for Knowledge-Enhanced Distributed Learning arXiv, 2025
• Towards Interpretable Federated Learning arXiv, 2023
• Complex-valued Federated Learning with Differential Privacy and MRI Applications arXiv, 2021
• Data Poisoning and Leakage Analysis in Federated Learning arXiv, 2024
• FedMD: Heterogenous Federated Learning via Model Distillation arXiv, 2019
• Privacy Preserving Machine Learning Workflow: from Anonymization to Personalized Differential Privacy Budgets in Federated Learning arXiv, 2026
• Federated Learning with Differential Privacy arXiv, 2024
• Backdoor Attacks on Federated Meta-Learning arXiv, 2020
• Can You Really Backdoor Federated Learning? arXiv, 2019
• Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning arXiv, 2022
• FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning arXiv, 2020
• Private Federated Learning with Domain Adaptation arXiv, 2019
• Central Server Free Federated Learning over Single-sided Trust Social Networks arXiv, 2019
• Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction arXiv, 2026
• SRFed: Mitigating Poisoning Attacks in Privacy-Preserving Federated Learning with Heterogeneous Data arXiv, 2026
• Federated Generative Privacy arXiv, 2019
• Privacy Threats Against Federated Matrix Factorization arXiv, 2020
• Decentralized Federated Learning: A Segmented Gossip Approach arXiv, 2019
• A Review of Privacy-preserving Federated Learning for the Internet-of-Things arXiv, 2020
• Survey of Privacy Threats and Countermeasures in Federated Learning arXiv, 2024
• Overcoming Forgetting in Federated Learning on Non-IID Data arXiv, 2019
• Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms Federated and Transfer Learning, Springer International Publishing, Cham, pp. 29-55, 2023, 2022
• VAFL: a Method of Vertical Asynchronous Federated Learning Proc. of ICML Workshop on Federated Learning for User Privacy and Data Confidentiality, July 2020, 2020
• Research on Security Data of Federated Learning Privacy LSTM Model Based on Generative Adversarial Network International Conference on Machine Learning and Cybernetics, 2023
• Chest X-Ray Pneumonia Detection Using Federated Learning : *Privacy-Preserving Deep Learning for Medical Image Classification International Conference on Intelligent Technologies (CONIT), 2025
• RP-IoMT: A Robust and Provable Framework for Federated Learning Privacy-Preserving Intelligence in Healthcare IoMT Computer Modeling in Engineering & Sciences, 2026
• Local and Central Differential Privacy for Robustness and Privacy in Federated Learning Network and Distributed System Security Symposium, 2022
• Wireless Federated Learning with Local Differential Privacy IEEE International Symposium on Information Theory (ISIT), 2020
• Privacy-Preserved Federated Learning for Autonomous Driving IEEE Transactions on Intelligent Transportation Systems, 2021
• Personalized Federated Learning With Differential Privacy IEEE Internet of Things Journal, 2020
• Secure, privacy-preserving and federated machine learning in medical imaging Nature Machine Intelligence, 2020
• Privacy-Preserving Federated Learning in Fog Computing IEEE Internet of Things Journal, 2020
• Privacy-first health research with federated learning npj Digital Medicine, 2021
• On Safeguarding Privacy and Security in the Framework of Federated Learning IEEE Network, 2020
• Privacy and Security in Federated Learning: A Survey Applied Sciences, 2022
• Privacy Preserving Machine Learning with Homomorphic Encryption and Federated Learning Future Internet, 2021
• Privacy and Robustness in Federated Learning: Attacks and Defenses IEEE Transactions on Neural Networks and Learning Systems, 2022
• Analyzing User-Level Privacy Attack Against Federated Learning IEEE Journal on Selected Areas in Communications, 2020
• Federated Learning with Bayesian Differential Privacy IEEE International Conference on Big Data (BigData), 2019
• Federated Learning Privacy Protection Collaboration Model Based on Improved Cyber Threat Collaborative Analysis Capability Journal of Cyber Security and Mobility, 2026
• Federated Learning and Privacy Queue, 2021
• Effective Communication Compression Framework Using Federated Learning Privacy Model for Smart Grid Procedia Computer Science, 2025
• A Hybrid Approach to Privacy-Preserving Federated Learning ACM Workshop on Artificial Intelligence and Security (AISec), 2019
• PSO + FL = PAASO: particle swarm optimization + federated learning = privacy-aware agent swarm optimization International Journal of Information Security, 2022
• Federated Learning Privacy Protection and Resource Collaborative Optimization Mechanism for Industrial Internet of Things Advances in Computer and Communication, 2026
• Research on Federated Learning Privacy Protection Model for Valve Fault Intelligent Diagnosis Global Reliability and Prognostics and Health Management Conference (PHM), 2024
• A federated learning privacy preserving scheme for infrastructure-less vehicular networks Scientia Sinica Informationis, 2025
• Advancing Federated Learning Privacy With Quantum Communication Techniques: A Robust Scalable Framework IEEE Systems Man and Cybernetics Magazine, 2025
• Trustworthiness in Vertical Federated Learning: Privacy attacks, Robustness Vulnerabilities, and Secure Protocols 2025
• Differentially Private Federated Learning: Privacy and Utility Analysis of Output Perturbation and DP-SGD IEEE International Conference on Big Data (BigData), 2023
• Efficient Homomorphic Attribute Federated Learning Privacy Protection Algorithm for Heterogeneous Device International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT), 2024
• Federated Learning Privacy-Preserving Approach for Consumer-Centric Multimodal Healthcare Data IEEE Transactions on Consumer Electronics, 2026
• GrCol-PPFL: User-Based Group Collaborative Federated Learning Privacy Protection Framework Computers, materials & continua/Computers, materials & continua (Print), 2022
• A federated learning privacy framework for missing data inference in environmental crowd sensing Transactions on Emerging Telecommunications Technologies, 2024
• Federated Learning: Privacy-Preserving Data Sharing and Underwriting Applications in the Insurance Industry Journal of World Economy, 2025
• Power Data Federated Learning Privacy Policy Based on Optimized Homomorphic Encryption IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS), 2024
• Trustworthy Glucose Prediction Using Federated Learning: Privacy Preserving as a Service 2025
• Differential privacy mechanisms in federated learning: privacy-utility trade-offs and future directions CRC Press eBooks, 2026
• A Blockchain-Based Trustworthy Federated Learning Privacy Protection Scheme IEEE Wireless Communications and Networking Conference, 2024
• Hierarchical Federated Learning Privacy Protection Framework with Enhanced Privacy and Resistance to Byzantine Attacks IEEE International Conference on Computer and Communication Engineering Technology (CCET), 2024
• Security and Credit evaluation mechanism federated learning privacy protection scheme 2025
• Integration of Zero-Knowledge proofs (ZK) and Machine Learning to enhance Federated Learning Privacy and Security International Conference on Information Management & Machine Intelligence (ICIMMI), 2024
• FL-EASGD: Federated Learning Privacy Security Method Based on Homomorphic Encryption Computers, materials & continua/Computers, materials & continua (Print), 2024
• Differential Privacy: Exploring Federated Learning Privacy Issue to Improve Mobility Quality IEEE Latin-American Conference on Communications, 2023
• Personalized Federated Learning Privacy with Adaptive Distillation and Robust Aggregation 2025