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

Yin, Xuefei, Zhu, Yanming, Hu, Jiankun·2022·ACM Computing Surveys

Cited by (640)

Items 501–600 of 640

  1. A Comprehensive Review of Privacy Preserving Data Publishing (PPDP) Algorithms for Multiple Sensitive Attributes (MSA)
    Veena Gadad, C. N. Sowmyarani · 2023 · Advances in information security, privacy, and ethics book series
  2. An Adaptive Sampling Strategy for Federal Graph Neural Networks in Internet of Things
    Tingqi Wang, Xu Zheng, Liyun Yang, Rong Xiang · 2023 · IEEE International Performance, Computing, and Communications Conference
  3. FlexSplit: A Configurable, Privacy-Preserving Federated-Split Learning Framework
    Tiantong Wu, H. M. N. Dilum Bandara, Phee Lep Yeoh, Kanchana Thilakarathna · 2023 · IEEE International Conference on Communications workshops
  4. Exploring Federated Learning for Data Integration: A Structured Literature Review
    Jan-Philipp Awick, Gerrit Schumann, Jorge Marx Gómez · 2023 · International Conference on Big Data, Knowledge and Control Systems Engineering (BdKCSE)
  5. Research on Federated Sharing Methods for Massive Data in Blockchain
    Bing Wu, Haiyan Kang · 2024 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
  6. Group Based Privacy Preserving Incentive Mechanism for Federated Learning
    Sneha Kanchan, Shivam Raj, Abrar Ahmed, Bong Jun Choi · 2024 · International Conference on Control, Instrumentation, Energy & Communication
  7. Security authentication protocol for Industrial Internet of Things
    Bingquan Wang, Meili Cui, Junchen Gao · 2023 · International Conference on Communication and Network Security (ICCNS)
  8. A Lightweight Smart Agent for Detecting Attacks in Distributed Machine Learning
    Фомичева Светлана Григорьевна, A. A. Bardovsky · 2024 · Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)
  9. Distributed sparsity constrained optimization over the Stiefel manifold
    Wentao Qu, Huangyue Chen, Xian-Chao Xiu, Wan-Quan Liu · 2024 · Neurocomputing
  10. Privacy Protection Bottom-up Hierarchical Federated Learning with Class Imbalanced Data
    Jing Zhang, S.Z. Li, Jiajia Li, Xiufeng Xia, Yiping Teng, Anzhen Zhang · 2024 · Lecture notes in computer science
  11. Privacy-preserving OLAP against big query workloads: innovative theories and theorems
    Alfredo Cuzzocrea · 2024 · Distributed and Parallel Databases
  12. Privacy-Balanced Protection Methodology for Vehicle Health Monitoring Under the Federated Learning Framework
    Hangcheng Zou, Bo Mi · 2024 · Communications in computer and information science
  13. FedDeepInsight - A Privacy-First Federated Learning Architecture for Medical Data
    Allan G. Duah, Roland V. Bumbuc, H. Ibrahim Korkmaz, Rory Wilding, Vivek M. Sheraton · 2024 · SSRN Electronic Journal
  14. Towards Federated Robust Approximation of Nonlinear Systems with Differential Privacy Guarantee
    Zonghuang Yang, Xiaolong Yan, Guoguang Chen, Mingli Niu, Xiaoli Tian · 2025 · Electronics
  15. Exploring Adoption of Privacy-Enhancing Technologies Among LGBTQ+ LIS Students in the United States: Motivations and Challenges
    Ece Gumusel · 2025 · Journal of Education for Library and Information Science
  16. No Fear of Domain Discrepancy: One-Shot Federated Learning via Class-Aware Distillation
    Siyuan Wu, Yipeng Zhou, Miao Hu, Di Wu · 2025 · Lecture notes in computer science
  17. YOLO Meets FedAVG: A Privacy-Preserving Approach to Autonomous Vehicles Object Detection
    Nusaybah M. Alahdal, Felwa Abukhodair, Leila Haj Meftah, Asma Cherif · 2025 · International Conference on Advanced Innovations in Smart Cities (ICAISC)
  18. Federated Learning for Smart Cities in Free Trade Area of China: Current Status, Application Cases, Challenges and Opportunities
    Mengxue Zuo · 2024 · International Conference on Big Data Economy and Information Management (BDEIM)
  19. Harnessing Collective Intelligence Without Data Sharing: A Federated Random Forest Approach for Lung Tumor Prediction
    Ch. Srividya, Krishnamurthy Ramasubramanian, Madhu Bala Myneni · 2025 · Learning and analytics in intelligent systems
  20. On the encryption for graph foundation model inference of sparse graph
    Man-Jie Yuan, Xue-Tong Bai, Kewei Zhang, Wei Gao · 2025 · Science China Information Sciences
  21. K‐Anonymization and Residual Neuron Attention Network for Privacy Data Protection in Blockchain Network With Federated Learning Using Defense Application
    T. Premkumar, D. R. Krithika · 2025 · Transactions on Emerging Telecommunications Technologies
  22. Vertical Federated Learning Across Second-Hop Parties
    Zikai Dou, Fei Chiang · 2025 · Lecture notes in computer science
  23. FedDPG: An Adaptive Yet Efficient Prompt-Tuning Approach in Federated Learning Settings
    Ali Shakeri, Wei Emma Zhang, Amin Beheshti, Weitong Chen, Jian Yu Yang, Lishan Yang · 2025 · Lecture notes in computer science
  24. Neural Gas method using autonomous and secure distributed processing with decomposed data
    Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima, Norio Shiratori · 2025 · Nonlinear Theory and Its Applications IEICE
  25. Secure Trust-MM: A Multimodal Large Model Framework with Game-Theoretic Adversarial Defense for Trustworthy Cybersecurity
    Tianxiang Xu, Jiahao Li, Chang Liu, Yuting Zhao, Jianhe Li, Kangsheng Wang, Zexu Huang · 2025 · Communications in computer and information science
  26. Privacy-aware Berrut Approximated Coded Computing for Federated Learning
    Xavier Martínez-Luaña, Rebeca P. Dı́az Redondo, Manuel Fernández‐Veiga · 2025 · Journal of Network and Computer Applications
  27. Privacy Protection for Medical Information in Federated Learning
    Malyala Vaishnavi, Srikanth Vemuru, Afsana Khan · 2025 · Advances in Science, Technology & Innovation/Advances in science, technology & innovation
  28. Privacy Threats and Privacy Preservation in Multiple Data Releases of High-Dimensional Datasets
    Surapon Riyana · 2025 · Computers
  29. User-Aligned Privacy Framework in the Era of Generative Artificial Intelligence
    Esraa Magdy, Ibrahim Sobh · 2025 · Communications in computer and information science
  30. Cloud-Simulated Federated Learning for Medical Image Analysis
    S Oviya, Rithika S M, Ananthi Ananthi, S Anandakumar · 2025 · International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)
  31. A Privacy-Preserving Data Governance in Cross-Border Telemedicine Using Federated Learning and Differential Privacy in Kenya
    Michael Meyo, Cynthia Ikamari, Anthony Mile · 2025 · Internet of Things and Cloud Computing
  32. Distributed Generalized Linear Models: A Privacy-Preserving Approach
    Daniel Tinoco, Raquel Menezes, Carlos Baquero · 2025 · Computational Statistics
  33. Subtle biases introduced in equity studies through data anonymization
    Paulo Fazendeiro, Paula Prata, Maria Eugénia Ferrão · 2025 · PLoS ONE
  34. Review of Federated Multitask Optimization
    Xiaoxu Zhang, Jie Tian, Xiaohui Yang, Hongfeng Sun · 2025 · International Conference on Data-driven Optimization of Complex Systems (DOCS)
  35. A novel hybrid YOLO-O SegNet for object detection and optimization with DCNN-based object recognition in federated learning
    Pir Dino Soomro, Xianping Fu, Santosh Kumar Banbhrani, Muhammad Asad, Zayyanu Shuaibu · 2025 · Multimedia Tools and Applications
  36. Enhanced Security and Privacy Framework for Federated Learning in Beyond 5G IoT Networks
    Nasir Ahmad Jalali, Chen Hongsong, Farid Ahmad Zahin, Aliyu Ashiru · 2025 · Wireless Personal Communications
  37. Requirements for Using Federated Learning in Manufacturing Supply Chains
    Jonas Kallisch, Jorge Marx Gómez · 2025 · Intelligent systems reference library
  38. Automated Detection of Reverse Proxy-Based Phishing Campaigns on Developer Platforms
    Kapil Chakravarthy Sanubala, Bhushan Bhimrao Chavan, Bishwajeet Kumar Pandey · 2025 · IEEE International Conference on Compute, Control, Network & Photonics (ICCCNP)
  39. BP Learning Method with Simplified Secure Distributed Processing Using Decomposed Data
    Hirofumi MIYAJIMA · 2025 · Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
  40. Privacy-Preserving Federated Machine Learning on Block Chain: A Comprehensive Review of Homomorphic Encryption Techniques
    S. Vijaya Lakshmi, R. Rajasekhar · 2025 · Lecture notes in electrical engineering
  41. FedELF: A Privacy-Preserving Federated Classification Using Iterative Extreme Learning Factory
    Polaki Durga Prasad, Yelleti Vivek, Vadlamani Ravi · 2025 · Communications in computer and information science
  42. FedeCouple: Fine-Grained Balancing of Global-Generalization and Local-Adaptability in Federated Learning
    Ming Yang, Dongrun Li, Xin Wang, Feng Li, Lisheng Fan, Chunxiao Wang, Xiaoming Wu, Peng Cheng · 2025 · IEEE Transactions on Mobile Computing
  43. Perfectly-Private Analog Secure Aggregation in Federated Learning
    Delio Jaramillo-Velez, Charul Rajput, Ragnar Freij-Hollanti, Camilla Hollanti, Alexandre Graell i Amat · 2025 · IEEE Information Theory Workshop (ITW)
  44. Gradient-driven data-free sample balancing for robust hierarchical federated learning
    Bo Peng, Xingwei Wang, Bo Yi, Ying Li, Min Huang, Lixing Wang · 2025 · Knowledge-Based Systems
  45. Federated Intelligence for Secure Wireless Systems
    Praveen Kumar Myakala, Madhura Raut, Vineeta Singh · 2025 · Advances in computational intelligence and robotics book series
  46. Additional file 1 of Federated learning algorithms for generalized mixed-effects model (GLMM) on horizontally partitioned data from distributed sources
    Li, Wentao, Tong, Jiayi, Md. Monowar Anjum, Noman Mohammed, Chen, Yong, Xiaoqian Jiang · 2022 · Figshare
  47. Personal Credit Score Generator Using Federated Learning for Financial Stress Management
    Ravneet Kaur, Seema Wazarkar, Rohit Jain, Ripul Ahuja, Ishit Bajaj, Saloni Bali · 2025 · Lecture notes in networks and systems
  48. Efficient Privacy-Enhanced Data Sharing Scheme Based on FederatedLearning in the Internet of Vehicles
    Jin Sun, Mengna Kang, Ting Wang, Zhongpeng Sun · 2025 · SSRN Electronic Journal
  49. FusionMIA: Enhancing Membership Inference Attacks with Spy Clients and Shadow Models in Federated Learning
    Xiang Lan, Jiayin Li A, Zuobin Ying, Xingshuo Han, Shengmin Xu · 2025 · Lecture notes in computer science
  50. Verifiable Fine-Grained Federated Unlearning
    Yong Wang, Guangyu Peng, Xueli Nie, Bruce Gu · 2025 · Lecture notes in computer science
  51. Federated learning with LSTM and error correcting codes for secure and private identification of IoT devices
    Shaya A. Alshaya · 2025 · Scientific Reports
  52. A Novel Privacy-Preserving user information queries scheme with functional policy
    Yuhang Lei, Rui Shi, Yang Yang, Chunjie Cao, Huamin Feng · 2026 · Journal of Information Security and Applications
  53. Efficient Privacy-Enhanced Data Sharing Scheme Based on Federated Learning in the Internet of Vehicles
    Jin Sun, Mengna Kang, Ting Wang, Zhongpeng Sun · 2026 · SSRN Electronic Journal
  54. FedGDA: A Federated Domain Alignment Approach for Multi-robot Maze Exploration
    Chenhao Ye, Hongxue Huang · 2026 · Lecture notes in computer science
  55. A Review on Federated Learning Frame work for Medical Image Analysis
    A Neela sundari, Dr.S.Sathiya, Dr.Gogineni Rajesh Chandra A · 2024 · International Journal for Research In Science & Advanced Technologies
  56. Privacy-Preserving Student Success Prediction Using a Federated Weighted Ensemble Under Non-IID Data
    Anjani Kumar, Raj K Sinha · 2025 · IEEE International Conference on ICT in Business Industry & Government (ICTBIG)
  57. FedLTA: A Federated Long-Tail Alignment Framework via Global Class Anchors
    Yuzi Li, Zhigang Wang, Qinghua Zhang, Junfeng Zhao · 2025 · ACM Symposium on Cloud Computing (SoCC)
  58. Enabling Role of Post-Quantum Secure Multi-Party Private Intersection Protocol in Federated Learning
    Xihan Zhao · 2025 · IEEE International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)
  59. A Study on Privacy-Focused Machine Learning in IoT Networks via Federated Learning
    Jisna Jaison T, P Thilakavathy · 2025 · International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
  60. Tackling the Effect of Local Model Updates Heterogeneity on Adaptive Fit Fraction
    Felipe Souza, Pedro Geraldo M. R. Alves, Miliene Rodrigues, Filipe Maciel, Aline Souza, Leandro Aparecido Villas, Luiz F. Bittencourt · 2025 · International Conference on Federated Learning Technologies and Applications (FLTA)
  61. Privacy-Preserving Federated Learning With Blockchain Auditing for Consumer Electronics Applications
    Ashish Kumar, Kakali Chatterjee, Ashish Pratap Singh, Abhinav Kumar, Hamad Aldawsari · 2026 · IEEE Transactions on Consumer Electronics
  62. Artificial Intelligence Breakthroughs and Data Futures: A Retrospective and Prospective Review
    Beyazit Bestami Yuksel, Ayse Yilmazer Metin · 2026 · Academic Platform Journal of Engineering and Smart Systems
  63. Design and verification of a verifiable privacy-preserving cloud-IoT computing platform integrating differential privacy and edge intelligence: based on secret sharing and gradient masking mechanisms
    Xiaomei Ding, Huaibao Ding, Fei Zhou, Xinyi Han, Qiongpei Wang, Jiayun Lang · 2026 · Engineering Research Express
  64. Next-Generation Intent-Based Networking in B5G with LLMs and Explainable AI
    Çağlar Tunç, Kaustubh Joshi · 2025 · Springer eBooks
  65. A modular and interpretable framework for tabular data analysis using LLaMA 7B: Enhancing preprocessing, modeling, and explainability with local language models
    Shahab Ahmad Al Maaytah, Ayman Qahmash · 2026 · PLoS ONE
  66. Accelerating the consensus speed of complex networked system via reweighting the edges
    Ronghua Yuan, Zian Le, Mingyang Zhou, Hao Liao · 2026 · Journal of Network and Computer Applications
  67. A Privacy-Preserving Data Pipeline Architecture for Federated and Generative AI Collaboration
    Vivek Venkatesan, Gayathri Balakumar, Girish Vasudevan, Gunasekar Pullur Balu, Pranoy Saha · 2026 · IEEE Annual Computing and Communication Workshop and Conference (CCWC)
  68. FedXGB-OptDP: A Privacy-Optimised Federated XGBoost Framework with Differential Privacy for IID and Non-IID healthcare data
    B. Sasirekha, Chellamuthu Gunavathi · 2026 · Research Square
  69. Introduction to Wind Energy Systems
    Mlay Sm, Daniil Pushkar, Stampinus M. Stephano, Aviti Thadei Mushi, Nikolai A. Poliakov · 2026 · IGI Global eBooks
  70. Coded Computing Meets Differential Privacy: Privacy-Preserving and Straggler-Resilient Distributed Machine Learning
    Yilei Xue, Jun Wu, Xi Lin, Heyi Zhang, Wei Zhang, Xinping Guan · 2026 · IEEE Transactions on Dependable and Secure Computing
  71. Adaptive Federated Learning with Dual Random Masking and Threshold-Based Secure Aggregation for Enhanced Privacy
    Judah Blesson W, Nithin V, Vignesh E, Vasanth S, G. Priyanka · 2025 · International Conference of Advances in Engineering and Computing Technologies for Sustainable Development (AECTSD)
  72. Privacy attack against federated tensor decomposition-based models
    Yichen Ma, Michael Biehler, Jianjun Shi · 2026 · IISE Transactions
  73. Privacy‐Preserving Decentralized AI for Secure Data Sharing in 6G
    Saravanan Subramani, J. Janet, J. Sebastian Nixon, Loganathan Meenachi, Krishnaraj Natarajan · 2026 · Internet Technology Letters
  74. Silent-App-Aware Federated Machine Unlearning for Encrypted Network Traffic Classification
    Zeyi Li, Yuna Jiang, Tianshun Wang, Pan Wang, Yimu Ji · 2026 · IEEE Transactions on Network Science and Engineering
  75. Breaking the Bottleneck of Heterogeneity in Federated Learning Through GBG: Grouping, Block Training, and Global Distillation
    Zehu Zhang, Lu Dong, Jiangtao Guo, Junyong Jiang · 2026 · IEEE Transactions on Mobile Computing
  76. HySecFL: Hybrid Secure Federated Learning for Smart Edge Devices
    Rojalini Tripathy, Veeravaneni Satya Sharanya, Padmalochan Bera · 2025 · IEEE International Conference on Advanced Networks and Telecommunications Systems
  77. FedASU: Attention-guided sensitivity unlearning framework for multi-scenario federated graph unlearning
    Jiaqi Chao, Xunkai Li, Yuming Ai, Meixia Qu · 2026 · Expert Systems with Applications
  78. Keyword-Searchable Encrypted Multi-Modal Biometric Identification System
    R. Jayapratha, Aswath Sathish, Bharanidharan M, Dinesh Paul T · 2026 · International Conference on Sentiment Analysis and Deep Learning (ICSADL)
  79. FedCKD-ALDP: A Dual-Optimization Framework for Non-IID Federated Learning via Clustered Knowledge Distillation and Adaptive Local Differential Privacy
    Shiwen Hu, Changji Wang, Yuan Li · 2026 · Lecture notes in computer science
  80. Phase-Synchronization-Based Federated Learning for Edge Computing Over Decentralized Networks
    Minhoe Kim, 서중원, Woong‐Hee Lee · 2026 · IEEE Transactions on Vehicular Technology
  81. Differentially Private Personalized Federated Learning Based on Parameter Partitioning
    Mingyu Pang, Yongqiang Gao, Y F Liu, Hualong Cui · 2026 · IEEE Transactions on Cognitive Communications and Networking
  82. Federated Smoothing ADMM for Robust Localization
    Reza Mirzaeifard, Ashkan Moradi, Masahiro Yukawa, Stefan Werner · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
  83. Decentralized Learning with Dynamically Refined Edge Weights: A Data-Dependent Framework
    Rongxing Du, Hoi-To Wai · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
  84. FL(DP)$$^2$$: Federated Learning with Dynamic Personalized Differential Privacy
    Cuiyun Shi, Jingyu Wang, Lixin Liu, Chang Xin, Yini Pu · 2026 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
  85. Retracted: A Privacy-Preserving Lightweight Hybrid Transformer for Rare Disease Detection and Clinical Decision Support using Federated Transfer Learning
    Rakshitha G, Bediga Sharan, Vanidhasri R, Priya Bhashini Koyyagura, Kavitha Shanmugakani, Kalaiarasi N · 2026 · International Conference on Expert Clouds and Applications (ICOECA) · Retracted
  86. Federated Unsupervised Skeletal Action Recognition From Condensation to Expansion
    Jinjin Gong, Binqian Xu, Jiachao Zhang, Xiangbo Shu · 2026 · IEEE Transactions on Information Forensics and Security
  87. Multi-authority Attribute-Based Access Control with Dynamic Policy Updates for Federated Learning
    Jialu Wang, Huijie Yang, Jingang Li, Wenying Zheng · 2026 · Lecture notes in computer science
  88. Privacy-Preserving Federated Multi-View Unsupervised Feature Selection for Multiomics Data
    Hangjun Che, Weiyu Li, Xuanhao Yang, Yunzhou Jiang, Qianlong Zhou, Wei Guo, Yiyan Han · 2026 · IEEE Transactions on Computational Social Systems
  89. VPN Usage in Türkiye During the August 2024 Instagram Ban: A Cluster Analysis Based on Excessive Social Media Use, FoMO, Loneliness, Well-Being, and Gender
    Adem Kantar, Gökçe Dik, İlknur Yaşar · 2026 · Gender Issues
  90. Privacy-Preserving Federated Learning for IoT Intrusion Detection in 6G Networks
    Jan Ariel Ocampo, Lejla Islami, Mina Alishahi · 2026 · Lecture notes in computer science
  91. Applications of Intelligent Image Recognition Technology in Modern Security Inspection and the Evolution of Screening Equipment
    Xiang Shen, Guangming Yang · 2026 · International Conference on Generative Artificial Intelligence and Information Security (GAIIS)
  92. AdaFed-LDR: Adaptive Federated Learning with Layerwise Dynamics Regularization for Robust Wi-Fi Localization
    Kaito Harada, Hirofumi Natori, Makoto Koike, Hiroshi Mineno · 2026 · Sensors
  93. The Geometry of Privacy: A Two-Stage Analysis of Generative Membership Inference in Federated Learning
    Borja Arroyo Galende, Patricia A. Apellániz, Alejandro Almodóvar, Silvia Uribe, Federico Álvarez, Juan Parras · 2026 · Big Data and Cognitive Computing
  94. Trustworthy privacy-preserving federated learning for urban sensing: Simultaneous mitigation of inference and poisoning attacks
    Lingam Srinivas Ram Kumar, Dheeraj Kumar · 2026 · Knowledge-Based Systems
  95. Federated Learning as REINFORCE Learning
    Ha Son Tran, T N P Nguyen, Nam Dung Tran, Dinh Song An Nguyen · 2026
  96. Adaptive Aggregation for Differentially Private Federated Learning via Liminality
    Klea Elmazi, Donald Elmazi, Fatjon Mehmeti · 2026 · Lecture notes on data engineering and communications technologies
  97. SCMA-OAC Enabled Federated Learning
    Y Zhang, Xianzhong Li, Yandong Zhao, Weimin Liu, Yuzhi Yang, Tianhao Guo · 2026 · Communications in computer and information science
  98. Cr-EEFO_YOLOv12: Chronological electric Eel foraging optimization-driven deep learning for multi-object detection and tracking in vehicle driving footage
    Dhanalakshmi Manickaraj · 2026 · Advances in Complex Systems
  99. TrustHealth-FL: Federated learning-based secure authentication and data integrity framework for healthcare applications
    Ganesha Hegde, Radhakrishna Bhat · 2026 · Cogent Engineering
  100. Data Privacy in Machine Learning: Challenges and Federated Learning Solutions
    Göksu Zekiye ÖZEN, Yunus Özen · 2026 · Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi