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[1]
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A Theoretical Comparison of Federated Learning with Differential Privacy and Blockchain for Security and Privacy in IoMT
2025 19th International Conference on Ubiquitous Information Management and Communication (IMCOM),
2025
DOI:10.1109/IMCOM64595.2025.10857505
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[2]
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Privacy-Preserving in Federated Learning: A Comparison between Differential Privacy and Homomorphic Encryption across Different Scenarios
2025 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW),
2025
DOI:10.1109/ICSTW64639.2025.10962468
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[3]
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Federated learning: a privacy-preserving approach to data-centric regulatory cooperation
Frontiers in Drug Safety and Regulation,
2025
DOI:10.3389/fdsfr.2025.1579922
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[4]
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Neural Gas method using autonomous and secure distributed processing with decomposed data
Nonlinear Theory and Its Applications, IEICE,
2025
DOI:10.1587/nolta.16.377
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[5]
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Research on the Recovery Strategy of Federated Learning Model Based on Zero-Knowledge Proof
2025 International Conference on Algorithm, Artificial Intelligence and Computer Vision (AAICV),
2025
DOI:10.1109/AAICV66571.2025.00042
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[6]
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DP-Fed6G: An adaptive differential privacy-empowered federated learning framework for 6G networks
Digital Communications and Networks,
2025
DOI:10.1016/j.dcan.2025.07.006
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[7]
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AI Driven Fraud Detection Models in Financial Networks: A Comprehensive Systematic Review
IEEE Access,
2025
DOI:10.1109/ACCESS.2025.3596060
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[8]
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FedDP: Differential Privacy-based Federated Learning for Smart Soil Health Prediction
2025 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI),
2025
DOI:10.1109/CCCI65983.2025.11215110
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[9]
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Performance and Security Evaluation of Federated Learning under IID and Non-IID Settings and Differential Privacy
2025 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT),
2025
DOI:10.1109/COMNETSAT68601.2025.11324726
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[10]
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A survey on federated learning: a perspective from multi-party computation
Frontiers of Computer Science,
2024
DOI:10.1007/s11704-023-3282-7
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[11]
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Federated learning with hybrid differential privacy for secure and reliable cross‐IoT platform knowledge sharing
SECURITY AND PRIVACY,
2024
DOI:10.1002/spy2.374
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[12]
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Differential Privacy Based Federated Learning Techniques in IoMT: A Review
2024 18th International Conference on Ubiquitous Information Management and Communication (IMCOM),
2024
DOI:10.1109/IMCOM60618.2024.10418361
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[13]
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Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers
ACM Transactions on Intelligent Systems and Technology,
2024
DOI:10.1145/3678182
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