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

Cited by (640)

Items 201–300 of 640

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5. One-Shot Federated Clustering of Non-Independent Completely Distributed Data
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6. Research on Model Optimization Technology of Federated Learning
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8. An Empirical Evaluation of the Data Leakage in Federated Graph Learning
   Jinyin Chen, Minying Ma, Haonan Ma, Haibin Zheng, Jian Zhang · 2023 · IEEE Transactions on Network Science and Engineering
9. TrustFedHealth: Federated Learning with Homomorphic Encryption and Blockchain for Heart Disease Prediction in the Smart Healthcare
   Bui Tan Hai Dang, Phan Huu Luan, Vuong Dinh Thanh Ngan, Nghia To Trong, Phan The Duy, Van-Hau Pham · 2023 · International Conference on Advanced Technologies for Communications
10. GEES: Enabling Location Privacy-Preserving Energy Saving in Multi-Access Edge Computing
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11. VeSAFL: Verifiable Secure Aggregation for Privacy-Preserving Federated Learning
    Jaouhara Bouamama, Yahya Benkaouz, Mohammed Ouzzif · 2025 · IEEE Transactions on Dependable and Secure Computing
12. A survey of privacy-preserving federated learning for intrusion detection systems
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13. FedBully: A Cross-Device Federated Approach for Privacy Enabled Cyber Bullying Detection using Sentence Encoders
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14. Rec-Def: A Recommendation-Based Defence Mechanism for Privacy Preservation in Federated Learning Systems
    Chamara Sandeepa, Bartlomiej Siniarski, Shen Wang, Madhusanka Liyanage · 2023 · IEEE Transactions on Consumer Electronics
15. Deep learning-based privacy-preserving recommendations in federated learning
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16. A Generative AI Approach for Ensuring Data Integrity Security Resilience in Fintech Systems
    Pushpita Chatterjee, Debashis Das, Danda B. Rawat · 2024 · IEEE International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)
17. Toward Secure Weighted Aggregation for Privacy-Preserving Federated Learning
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18. An approach for proactive mobile recommendations based on user-defined rules
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19. FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding
    Haoyu Wang, Handong Zhao, Yaqing Wang, Tong Yu, Jiuxiang Gu, Jing Gao · 2022 · International World Wide Web Conference (WWW)
20. Communication-Efficient and Privacy-Aware Distributed Learning
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21. A Blockchain System for Clustered Federated Learning with Peer-to-Peer Knowledge Transfer
    Honghu Wu, Xiangrong Zhu, Wei Hu · 2024 · Proceedings of the VLDB Endowment
22. Federated Learning: Challenges, SoTA, Performance Improvements and Application Domains
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23. A DDoS attack detection method combining federated learning and hybrid deep learning in software-defined networking
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24. Advancements and challenges in privacy-preserving split learning: experimental findings and future directions
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25. Delving Into Security and Privacy of Joint Communication and Sensing: A Survey
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26. DP-Fed6G: An adaptive differential privacy-empowered federated learning framework for 6G networks
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27. Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data
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28. U.S.-U.K. PETs Prize Challenge: Anomaly Detection via Privacy-Enhanced Federated Learning
    Hafiz Salman Asif, Sitao Min, Xinyue Wang, Jaideep S. Vaidya · 2024 · IEEE Transactions on Privacy
29. VCFL: A verifiable and collusion attack resistant privacy preserving framework for cross-silo federated learning
    Weidong Du, Min Li, Xiaoyuan Yang, Liqiang Wu, Tanping Zhou · 2022 · Pervasive and Mobile Computing
30. Efficient and Secure Aggregation Framework for Federated-Learning-Based Spectrum Sharing
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31. Privacy-preserving MTS anomaly detection for network devices through federated learning
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32. Pack: Towards Communication-Efficient Homomorphic Encryption in Federated Learning
    Zeyuan Zuo, Ningxin Su, Baochun Li, Teng Zhang · 2024 · ACM Symposium on Cloud Computing (SoCC)
33. A Survey on Parameter Server Architecture: Approaches for Optimizing Distributed Centralized Learning
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34. The governance of federated learning: a decision framework for organisational archetypes
    Tom Barbereau, Joaquín Delgado Fernández, Sergio Potenciano Menci · 2025 · Data & Policy
35. PPFLQB: A Privacy-Preserving Federated Learning enhanced Quantum-secure Blockchain layered framework
    Bora Buğra Sezer, Hasret Turkmen · 2025 · Internet of Things
36. Byzantine-Robust Federated Linear Bandits
    Ali Jadbabaie, Haochuan Li, Jian Qian, Yi Tian · 2022 · IEEE Conference on Decision and Control (CDC)
37. FedCER - Emotion Recognition Using 2D-CNN in Decentralized Federated Learning Environment
    Manan Agrawal, Mohd Ayaan Anwar, Rajni Jindal · 2023 · International Conference on Information Systems and Computer Networks (ISCON)
38. 5G on the Roads: Latency-Optimized Federated Analytics in the Vehicular Edge
    László Toka, Márk Konrad, István Pelle, Balázs Sonkoly, Marcell Szabó, Bhavishya Sharma, Shashwat Kumar, Madhuri Annavazzala, Sree Teja Deekshitula, A. Antony Franklin · 2023 · IEEE Access
39. Towards Privacy-Preserving Federated Neuromorphic Learning via Spiking Neuron Models
    Bing Han, Qiang Fu, Xinliang Zhang · 2023 · Electronics
40. Fuzzy Federated Learning for Privacy-Preserving Detection of Adolescent Idiopathic Scoliosis
    Xiaotong Wu, Yan Ding, Xiaokang Zhou, Yanwei Xu, Shoujin Wang, Xiaolong Xu, Lianyong Qi · 2024 · IEEE Transactions on Fuzzy Systems
41. SLwF: A Split Learning Without Forgetting Framework for Internet of Things
    Xingyu Feng, Renqi Jia, Chengwen Luo, Victor C. M. Leung, Weitao Xu · 2024 · IEEE Internet of Things Journal
42. Artificial intelligence in COVID-19 research: A comprehensive survey of innovations, challenges, and future directions
    Richard Annan, Letu Qingge · 2025 · Computer Science Review
43. Federated Graph Learning via Constructing and Sharing Feature Spaces for Cross-Domain IoT
    Jiale Chen, Shengda Zhuo, Jinchun He, Wangjie Qiu, Qinnan Zhang, Zehui Xiong, Zhiming Zheng, Yin Tang, Min Chen, Chang‐Dong Wang et al. · 2025 · IEEE Internet of Things Journal
44. DeFiSentinel: AI-Enhanced Decentralized Finance Architecture With Advanced Cryptographic Smart Contracts for Data Integrity and Threat Resilience
    Seyed Mani Rahnama · 2025 · IEEE Access
45. Strategies for Reducing the Communication and Computation Costs in Cross-Silo Federated Learning: A Comprehensive Review
    Vineetha Pais, Santhosha Rao, Balachandra Muniyal · 2025 · IEEE Access
46. PDSA-FL: A Poisoning-Defense Secure Aggregation in Federated Learning
    Zixuan Huang, Yuanguo Bi, Kuan Zhang, Bing Hu, Zhou Su, Chong Tai, Xukun Luan · 2025 · IEEE Transactions on Information Forensics and Security
47. A Guide to Machine Learning Epistemic Ignorance, Hidden Paradoxes, and Other Tensions
    Mohannad Zeyad Naser · 2025 · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
48. Distributed machine learning for next-generation communication networks: A survey on privacy, fairness, efficiency, and trade-offs
    Wenqi Zhang, Dongyang Zhan, Haining Yu, Langtong Zhang, Bei Zhao, Xuetao Du, Zhihong Tian · 2025 · Information Fusion
49. Collaborative deployment of Large AI Models on the edge: A microservice approach to heterogeneous training and quantized inference
    Seyed Hossein Ahmadpanah, Meghdad Mirabi, Sanaz Sobhanloo, Pania Afsharfarnia, Donya Fallah, Mobina Bayati · 2025 · Ad Hoc Networks
50. Technical and legal aspects of federated learning in bioinformatics: applications, challenges and opportunities
    Daniele Malpetti, Marco Scutari, Francesco Gualdi, Jessica van Setten, Sander W. van der Laan, Saskia Haitjema, Aaron Mark Lee, Isabelle Hering, Francesca Mangili · 2025 · Frontiers in Digital Health
51. PerHeFed: A general framework of personalized federated learning for heterogeneous convolutional neural networks
    Le Ma, Yuying Liao, Bin Zhou, Wen Xi · 2022 · World Wide Web
52. Robustness of privacy-preserving collaborative recommenders against popularity bias problem
    Mert Gulsoy, Emre Yalçın, Alper Bilge · 2023 · PeerJ Computer Science
53. R-GCN: a residual-gated recurrent unit convolution network model for anomaly detection in blockchain transactions
    Rajendrane Rajmohan, Tamilarasan Ananth Kumar, S. G. Sandhya, Yu‐Chen Hu · 2024 · Multimedia Tools and Applications
54. Toxicity prediction and classification of Gunqile-7 with small sample based on transfer learning method
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55. Synthetic Breast Ultrasound Images: A Study to Overcome Medical Data Sharing Barriers
    Jiale Xu, Qing Hua, Xiaohong Jia, YuHang Zheng, Qiao Hu, Baoyan Bai, Juan Miao, Lisha Zhu, MeiXiang Zhang, Ren Tao et al. · 2024 · Research
56. Federated Learning for Privacy Preserving Intelligent Healthcare Application to Breast Cancer Detection
    N.A. Amritanjali, Ragav Gupta · 2025 · International Conference on Distributed Computing and Networking (ICDCN)
57. Incentivizing task offloading in IoT: A distributed auctions-based DRL approach
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58. Privacy-Preserving and Verifiable Cloud-Aided Disease Diagnosis and Prediction With Hyperplane Decision-Based Classifier
    Yuhang Shao, Chengliang Tian, Lidong Han, Hequn Xian, Jia Yu · 2022 · IEEE Internet of Things Journal
59. Rectification of Syntactic and Semantic Privacy Mechanisms
    Abdul Majeed, Seong Oun Hwang · 2022 · IEEE Security & Privacy
60. Tactile internet of federated things: Toward fine-grained design of FL-based architecture to meet TIoT demands
    Omar Alnajar, Ahmed Barnawi · 2023 · Computer Networks
61. Energy-Efficient and Privacy-Preserved Incentive Mechanism for Federated Learning in Mobile Edge Computing
    Jingyuan Liu, Zheng Chang, Geyong Min, Yan Zhang · 2023 · International Conference on Communications
62. EdgeSA: Secure Aggregation for Privacy-Preserving Federated Learning in Edge Computing
    Jaouhara Bouamama, Yahya Benkaouz, Mohammed Ouzzif · 2023 · IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
63. Federated Learning for Privacy Preservation in Healthcare
    Hari Kishan Kondaveeti, Chinna Gopi Simhadri, Srileakhana Mangapathi, V. Valli Kumari · 2024 · Advances in healthcare information systems and administration book series
64. Low Complexity Byzantine-Resilient Federated Learning
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65. A Federated Learning-Based Data Augmentation Method for Privacy Preservation Under Heterogeneous Data
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66. SAEV-FL: Lightweight Secure Aggregation and Efficient Verification Scheme for Federated Learning in Cloud-Edge Collaborative Environment
    Shiwen Zhang, Feixiang Ren, Wei Liang, Kuanching Li, Nam Ling · 2025 · IEEE Transactions on Intelligent Vehicles
67. Federated Learning Spam Detection Based on FedProx and Multi-Level Multi-Feature Fusion
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68. Skill Sets Required to Meet a Human-Centered Industry 5.0
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69. AIFL: Ensuring Unlinkable Anonymity and Robust Incentive in Cross-Device Federated Learning
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70. FedMIL: Federated-Multiple Instance Learning for Video Analysis with Optimized DPP Scheduling
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71. FedWDP: A Wasserstein-distance-based federated learning for privacy and heterogeneous data in IoT
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72. Compressed Private Aggregation for Scalable and Robust Federated Learning Over Massive Networks
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73. Robust Decentralized Federated Learning Using Collaborative Decisions
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74. Privacy-Preserving Federated Learning via System Immersion and Random Matrix Encryption
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75. Network Intrusion Detection to Mitigate Jamming and Spoofing Attacks Using Federated Leading
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76. EHMQA-GPT: A Knowledge Augmented Large Language Model for Personalized Elderly Health Management
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77. A survey of optimization algorithms for differential privacy in Federated Learning
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78. Breaking barriers in federated transfer learning: A systematic review on federated transfer learning for non-overlapping domains
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79. PriFFT: Privacy-Preserving Federated Fine-Tuning of Large Language Models via Hybrid Secret Sharing
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80. Deep Reinforcement Learning-based Quantization for Federated Learning
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81. A Comprehensive Review of Artificial Intelligence and Machine Learning Methods for Modern Healthcare Systems
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82. Fusion of Federated Learning and 6G in Internet-of-Medical-Things: Architecture, Case Study and Emerging Directions
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83. Privacy Enhanced Federated Learning via Privacy Masks and Additive Homomorphic Encryption
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84. Drowsiness Detection Using Federated Learning: Lessons Learnt from Dealing with Non-IID Data
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85. Communication-Efficient Wireless Traffic Prediction with Federated Learning
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86. Federated Clustering with Unknown Number of Clusters
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90. A systematic review of secure federated learning based on blockchain and Multi-Party computation
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91. Splitting smarter: Differential privacy for secure healthcare federated learning
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92. Oops!... They Stole it Again: Attacks on Split Learning
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93. Federated Learning Model for Auto Insurance Rate Setting Based on Tweedie Distribution
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96. Distributed Recommendation Systems: Survey and Research Directions
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97. Privacy-Preserving Federated Learning With Improved Personalization and Poison Rectification of Client Models
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98. On the local convergence of ADAM-DPGAN with simultaneous and alternating gradient decent training methods
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99. Privacy-Preserving Federated Neural Architecture Search With Enhanced Robustness for Edge Computing
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100. Private and Secure Distributed Deep Learning: A Survey
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