Browse studies, page 360

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• A Comprehensive Survey of Federated Learning: Privacy, Personalization, and Future Horizons 2026 International Conference on Emerging Trends and Innovations in ICT (ICEI), 2026
• Federated Learning Privacy-preserving Scheme Based on DMK-CKKS 2025
• When Crowdsensing Meets Federated Learning: Privacy-Preserving Mobile Crowdsensing System arXiv (Cornell University), 2021
• Shuffled Model of Federated Learning: Privacy, Communication and Accuracy Trade-offs arXiv (Cornell University), 2020
• Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation arXiv (Cornell University), 2024
• Federated Learning Privacy-preserving Method Based on Bregman Optimization IEEE International Conference on Cyber Security and Cloud Computing / IEEE International Conference on Edge Computing and Scalable Cloud (CSCloud/EdgeCom), 2023
• An Efficient Federated Learning Privacy Protection Algorithm based on Model Quantification International Conference on Electronic Information Technology and Computer Engineering (EITCE), 2024
• Decentralized Federated Learning Privacy-Preserving Framework Based on Blockchain International Conference on Electronic Information Engineering and Computer Communication (EIECC), 2023
• Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation IEEE Transactions on Communications, 2025
• A Survey of Federated Learning Privacy Preservation Techniques for Malicious Behavior Detection Journal of Information Systems Engineering & Management, 2025
• Scalable federated learning: privacy, efficiency, and personalization at scale Iterative International Publishers eBooks, 2026
• Federated Learning; Privacy Preserving Machine Learning for Decentralized Data Journal of Propulsion Technology, 2023
• Federated Learning: Privacy-Preserving Machine Learning in Cloud Environments International Journal of Science and Research (IJSR), 2024
• Federated Learning Privacy Protection Scheme Based on Homomorphic Encryption 2024
• A Review Of Federated Learning: Privacy-Preserving Machine Learning Zenodo (CERN European Organization for Nuclear Research), 2026
• Federated Learning: Privacy, Security and Hardware Perspectives River Publishers eBooks, 2024
• Information-Theoretic Foundation for Federated Learning Privacy Zenodo (CERN European Organization for Nuclear Research), 2026
• Shuffled Model of Federated Learning: Privacy, Accuracy and Communication Trade-Offs IEEE Journal on Selected Areas in Information Theory, 2021
• Federated Learning: Privacy-Preserving Distributed Training Zenodo (CERN European Organization for Nuclear Research), 2026
• CrowdFL: Privacy-Preserving Mobile Crowdsensing System Via Federated Learning IEEE Transactions on Mobile Computing, 2023
• Enhancing Brain Tumor Segmentation Accuracy through Scalable Federated Learning with Advanced Data Privacy and Security Measures Mathematics, 2023
• Fed-PEMC: A Privacy-Enhanced Federated Deep Learning Algorithm for Consumer Electronics in Mobile Edge Computing IEEE transactions on consumer electronics, 2024
• Federated learning and differential privacy for medical image analysis Scientific Reports, 2021
• Fairness and Privacy-Preserving in Federated Learning: A Survey Information Fusion, 2023
• Exploring Homomorphic Encryption and Differential Privacy Techniques towards Secure Federated Learning Paradigm Future Internet, 2023
• Towards Personalized Federated Learning IEEE Transactions on Neural Networks and Learning Systems, 2021
• Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning IEEE Conference on Computer Communications, 2018
• Federated Learning of Gboard Language Models with Differential Privacy Annual Meeting of the Association for Computational Linguistics, 2023
• Revolutionizing Maize Disease Management with Federated Learning CNNs: A Decentralized and Privacy-Sensitive Approach 2023 4th International Conference for Emerging Technology (INCET), 2023
• Decentralized P2P Federated Learning for Privacy-Preserving and Resilient Mobile Robotic Systems IEEE wireless communications, 2023
• Privacy-Preserving Byzantine-Robust Federated Learning via Blockchain Systems IEEE Transactions on Information Forensics and Security, 2022
• Intrusion Detection Based on Privacy-Preserving Federated Learning for the Industrial IoT IEEE Transactions on Industrial Informatics, 2023
• Cloud-IIoT-Based Electronic Health Record Privacy-Preserving by CNN and Blockchain-Enabled Federated Learning IEEE Transactions on Industrial Informatics, 2023
• Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage Computer Vision and Pattern Recognition, 2022
• Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection IEEE Access, 2023
• EPPDA: An Efficient Privacy-Preserving Data Aggregation Federated Learning Scheme IEEE Transactions on Network Science and Engineering, 2023
• FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System arXiv.org, 2023
• Dynamic Personalized Federated Learning with Adaptive Differential Privacy Neural Information Processing Systems, 2023
• Differential Privacy for Deep and Federated Learning: A Survey IEEE Access, 2022
• Federated Learning on Non-IID Data Silos: An Experimental Study IEEE International Conference on Data Engineering, 2021
• FedBN: Federated Learning on Non-IID Features via Local Batch Normalization International Conference on Learning Representations, 2021
• Personalized Federated Learning With Differential Privacy and Convergence Guarantee IEEE Transactions on Information Forensics and Security, 2023
• Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT IEEE Transactions on Industrial Informatics, 2020
• A Comprehensive Survey of Privacy-preserving Federated Learning ACM Computing Surveys, 2021
• Homomorphic Encryption-Based Privacy-Preserving Federated Learning in IoT-Enabled Healthcare System IEEE Transactions on Network Science and Engineering, 2023
• A Hybrid Approach to Privacy-Preserving Federated Learning Informatik-Spektrum, 2018
• Toward Quantum Federated Learning IEEE Transactions on Neural Networks and Learning Systems, 2025
• FEDetect: A Federated Learning-Based Malware Detection and Classification Using Deep Neural Network Algorithms The Arabian journal for science and engineering, 2025
• Privacy-Enhanced Federated Learning Against Poisoning Adversaries IEEE Transactions on Information Forensics and Security, 2021
• ShieldFL: Mitigating Model Poisoning Attacks in Privacy-Preserving Federated Learning IEEE Transactions on Information Forensics and Security, 2022
• Federated Learning for Privacy-Preserving Medical Data Sharing in Drug Development Applied and Computational Engineering, 2024
• On the Differential Privacy in Federated Learning Based on Over-the-Air Computation IEEE Transactions on Wireless Communications, 2024
• A survey of security threats in federated learning Complex & Intelligent Systems, 2025
• Adapting security and decentralized knowledge enhancement in federated learning using blockchain technology: literature review Journal of Big Data, 2025
• An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies Federated Learning Systems, 2020
• Handling Privacy-Sensitive Medical Data With Federated Learning: Challenges and Future Directions IEEE journal of biomedical and health informatics, 2022
• Federated learning with hybrid differential privacy for secure and reliable cross‐IoT platform knowledge sharing Security and Privacy, 2024
• Federated Learning with Privacy Preserving for Multi- Institutional Three-Dimensional Brain Tumor Segmentation Diagnostics, 2024
• APDPFL: Anti-Poisoning Attack Decentralized Privacy Enhanced Federated Learning Scheme for Flight Operation Data Sharing IEEE Transactions on Wireless Communications, 2024
• Blockchain-Based Federated Learning With Enhanced Privacy and Security Using Homomorphic Encryption and Reputation IEEE Internet of Things Journal, 2024
• Robust Privacy-Preserving Recommendation Systems Driven by Multimodal Federated Learning IEEE Transactions on Neural Networks and Learning Systems, 2024
• Blockchain-Based Federated Learning Technique for Privacy Preservation and Security of Smart Electronic Health Records IEEE transactions on consumer electronics, 2024
• Privacy-Preserving in Blockchain-based Federated Learning Systems Computer Communications, 2024
• RFed: Robustness-Enhanced Privacy-Preserving Federated Learning Against Poisoning Attack IEEE Transactions on Information Forensics and Security, 2024
• TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning IEEE Transactions on Dependable and Secure Computing, 2024
• Federated Learning-Based Personalized Recommendation Systems: An Overview on Security and Privacy Challenges IEEE transactions on consumer electronics, 2024
• A Survey of Security Strategies in Federated Learning: Defending Models, Data, and Privacy Future Internet, 2024
• FedComm: A Privacy-Enhanced and Efficient Authentication Protocol for Federated Learning in Vehicular Ad-Hoc Networks IEEE Transactions on Information Forensics and Security, 2024
• Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things CAAI Transactions on Intelligence Technology, 2024
• Two-Level Privacy-Preserving Framework: Federated Learning for Attack Detection in the Consumer Internet of Things IEEE transactions on consumer electronics, 2024
• Shield Against Gradient Leakage Attacks: Adaptive Privacy-Preserving Federated Learning IEEE/ACM Transactions on Networking, 2024
• Privacy-Preserving and Byzantine-Robust Federated Learning IEEE Transactions on Dependable and Secure Computing, 2024
• Privacy-Preserving Federated Learning for Intrusion Detection in IoT Environments: A Survey IEEE Access, 2024
• Federated Learning for Cloud and Edge Security: A Systematic Review of Challenges and AI Opportunities Electronics, 2025
• Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health Systems Future generations computer systems, 2024
• Federated Learning for IoT: A Survey of Techniques, Challenges, and Applications J. Sens. Actuator Networks, 2025
• Survey: federated learning data security and privacy-preserving in edge-Internet of Things Artificial Intelligence Review, 2024
• AP2FL: Auditable Privacy-Preserving Federated Learning Framework for Electronics in Healthcare IEEE transactions on consumer electronics, 2024
• An overview of implementing security and privacy in federated learning Artificial Intelligence Review, 2024
• Clustered Federated Learning With Adaptive Local Differential Privacy on Heterogeneous IoT Data IEEE Internet of Things Journal, 2024
• Decentralized Federated Learning: A Survey on Security and Privacy IEEE Transactions on Big Data, 2024
• A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection IEEE Transactions on Knowledge and Data Engineering, 2019
• Efficiency Optimization Techniques in Privacy-Preserving Federated Learning With Homomorphic Encryption: A Brief Survey IEEE Internet of Things Journal, 2024
• Federated Learning in Smart Healthcare: A Comprehensive Review on Privacy, Security, and Predictive Analytics with IoT Integration Healthcare, 2024
• When Federated Learning Meets Privacy-Preserving Computation ACM Computing Surveys, 2024
• Privacy preservation for federated learning in health care Patterns, 2024
• A Robust Privacy-Preserving Federated Learning Model Against Model Poisoning Attacks IEEE Transactions on Information Forensics and Security, 2024
• Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints IEEE Transactions on Neural Networks and Learning Systems, 2019
• Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning IEEE Symposium on Security and Privacy, 2018
• A Survey of Differential Privacy Techniques for Federated Learning IEEE Access, 2025
• PriVeriFL: Privacy-Preserving and Aggregation-Verifiable Federated Learning IEEE Transactions on Services Computing, 2025
• A Verifiable Privacy-Preserving Federated Learning Framework Against Collusion Attacks IEEE Transactions on Mobile Computing, 2025
• Exploring privacy mechanisms and metrics in federated learning Artificial Intelligence Review, 2025
• Federated learning for intrusion detection in IoT environments: a privacy-preserving strategy Discover Internet of Things, 2025
• A survey on security and privacy of federated learning Future generations computer systems, 2021
• Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive Survey IEEE Transactions on Artificial Intelligence, 2025
• The future of digital health with federated learning npj Digital Medicine, 2020
• Inverting Gradients -- How easy is it to break privacy in federated learning? Neural Information Processing Systems, 2020
• Federated Learning with Non-IID Data arXiv.org, 2018
• Improving LoRA in Privacy-preserving Federated Learning International Conference on Learning Representations, 2024