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 101–200 of 640

  1. AFLEMP: Attention-based Federated Learning for Emotion recognition using Multi-modal Physiological data
    Neha Gahlan, Divyashikha Sethia · 2024 · Biomedical Signal Processing and Control
  2. Federated learning vulnerabilities, threats and defenses: A systematic review and future directions
    Almutairi, Suzan, Barnawi, Ahmed · 2023 · Internet of Things
  3. Representation Learning and Pattern Recognition in Cognitive Biometrics: A Survey
    Min Wang, Xuefei Yin, Yanming Zhu, Jiankun Hu · 2022 · Sensors
  4. A survey on federated learning applications in healthcare, finance, and data privacy/data security
    Nevrataki, Theodora, Iliadou, Anastasia, Ntolkeras, George, Sfakianakis, Ioannis, Lazaridis, Lazaros, Maraslidis, George, Asimopoulos, Nikolaos, Fragulis, George F. · 2023 · AIP Conference Proceedings
  5. Blockchain-Empowered Federated Learning: Benefits, Challenges, and Solutions
    Zeju Cai, Jianguo Chen, Yuting Fan, Zibin Zheng, Keqin Li · 2025 · IEEE Transactions on Big Data
  6. Privacy preserving and secure robust federated learning: A survey
    Han, Qingdi, Lu, Siqi, Wang, Wenhao, Qu, Haipeng, Li, Jingsheng, Gao, Yang · 2024 · Concurrency and Computation: Practice and Experience
  7. Cluster Based Secure Multi-party Computation in Federated Learning for Histopathology Images
    Seyedeh Maryam Hosseini, Milad Sikaroudi, Morteza Babaei, Hamid R. Tizhoosh · 2022 · Lecture notes in computer science
  8. Empowering ISAC Systems With Federated Learning: A Focus on Satellite and RIS-Enhanced Terrestrial Integrated Networks
    Sonia Pala, Keshav Kumar Singh, Chih–Peng Li, Octavia A. Dobre · 2024 · IEEE Transactions on Wireless Communications
  9. Federated learning-based prediction of electric vehicle battery pack capacity using time-domain and frequency-domain feature extraction
    Xiang Chen, Xingxing Wang, Yelin Deng · 2025 · Energy
  10. Federated Learning for Urban Sensing Systems: A Comprehensive Survey on Attacks, Defences, Incentive Mechanisms, and Applications
    Ayshika Kapoor, Dheeraj Kumar · 2024 · IEEE Communications Surveys & Tutorials
  11. HPFL-CN: Communication-Efficient Hierarchical Personalized Federated Edge Learning via Complex Network Feature Clustering
    Zijian Li, Zihan Chen, Xiaohui Wei, Shang Bing Gao, Chenghao Ren, Tony Q. S. Quek · 2022 · IEEE International Conference on Sensing, Communication, and Networking (SECON)
  12. Decentralized Machine Learning Training: A Survey on Synchronization, Consolidation, and Topologies
    Qazi Waqas Khan, Anam Nawaz Khan, Atif Rizwan, Rashid Ahmad, Salabat Khan, Do‐Hyeun Kim · 2023 · IEEE Access
  13. A review of federated learning: taxonomy, privacy and future directions
    Hashan Ratnayake, Lin Chen, Xiaofeng Ding · 2023 · Journal of Intelligent Information Systems
  14. Retracted: Federated Learning for Secure and Privacy-Preserving Medical Image Analysis in Decentralized Healthcare Systems
    M. Muthalakshmi, Karthik Jeyapal, M. Vinoth, Savithramma P. Dinesh‐Kumar, N. Senthil Murugan, K. Santha Sheela · 2024 · International Conference on Electronics and Sustainable Communication Systems (ICESC) · Retracted
  15. Differentially Private Set Intersection for Asymmetrical ID Alignment
    Yuanyuan He, Xinyu Tan, Jianbing Ni, Laurence Tianruo Yang, Xianjun Deng · 2022 · IEEE Transactions on Information Forensics and Security
  16. Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science
    Longbing Cao · 2023 · International Journal of Data Science and Analytics
  17. Split Aggregation: Lightweight Privacy-Preserving Federated Learning Resistant to Byzantine Attacks
    Zhi Gang Lu, Songfeng Lu, Yongquan Cui, Xueming Tang, Junjun Wu · 2024 · IEEE Transactions on Information Forensics and Security
  18. A efficient and robust privacy-preserving framework for cross-device federated learning
    Weidong Du, Min Li, Liqiang Wu, Yiliang Han, Tanping Zhou, Xiaoyuan Yang · 2023 · Complex & Intelligent Systems
  19. Knowledge Distillation in Federated Learning: A Survey on Long Lasting Challenges and New Solutions
    Laiqiao Qin, Tianqing Zhu, Wanlei Zhou, Philip S. Yu · 2025 · International Journal of Intelligent Systems
  20. Security Threats and Promising Solutions Arising from the Intersection of AI and IoT: A Study of IoMT and IoET Applications
    Hadeel Alrubayyi, Moudy Sharaf Alshareef, Zunaira Nadeem, Ahmed M. Abdelmoniem, Mona Jaber · 2024 · Future Internet
  21. Secure Intrusion Detection by Differentially Private Federated Learning for Inter-Vehicle Networks
    Qian Xu, Lei Zhang, Dongxiu Ou, Wenjuan Yu · 2023 · Transportation Research Record Journal of the Transportation Research Board
  22. Online Federated Learning via Non-Stationary Detection and Adaptation Amidst Concept Drift
    Bhargav Ganguly, Vaneet Aggarwal · 2023 · IEEE/ACM Transactions on Networking
  23. Internet-of-Things Edge Computing Systems for Streaming Video Analytics: Trails Behind and the Paths Ahead
    Arun Ravindran · 2023 · IoT
  24. Federated learning for solar energy applications: A case study on real-time fault detection
    Ibtihal Ait Abdelmoula, Hicham Oufettoul, Nassim Lamrini, Saad Motahhir, Adil Mehdary, Mohamed El Aroussi · 2024 · Solar Energy
  25. Privacy-Preserving Financial Anomaly Detection via Federated Learning & Multi-Party Computation
    Sunpreet S. Arora, Andrew Beams, Panagiotis Chatzigiannis, Sebastian Meiser, Karan Patel, Srinivasan Raghuraman, Peter Rindal, Harshal Shah, Yizhen Wang, Yuhang Wu et al. · 2024 · Annual Computer Security Applications Conference Workshops (ACSAC Workshops)
  26. Artificial intelligence in bioinformatics: a survey
    Jiyue Jiang, Yunke Li, Shiwei Cao, Yuheng Shan, Yuexing Liu, Tianyi Fei, Yule Yu, Yi Feng, Yu Li, Yixue Li et al. · 2025 · Briefings in Bioinformatics
  27. Ensuring Zero Trust IoT Data Privacy: Differential Privacy in Blockchain Using Federated Learning
    Altaf Hussain, Wajahat Akbar, Tariq Hussain, Ali Kashif Bashir, Maryam Mohamed Al Dabel, Farman Ali, Bailin Yang · 2024 · IEEE Transactions on Consumer Electronics
  28. Federated Learning for 6G Networks: Navigating Privacy Benefits and Challenges
    Chamara Sandeepa, Engin Zeydan, Tharaka Samarasinghe, Madhusanka Liyanage · 2024 · IEEE Open Journal of the Communications Society
  29. Joint Beamforming Design and Sensing in Satellite and RIS-Enhanced Terrestrial Networks: A Federated Learning Approach
    Sonia Pala, Keshav Kumar Singh, Chih–Peng Li, Octavia A. Dobre, Trung Q. Duong · 2025 · IEEE Transactions on Cognitive Communications and Networking
  30. Communication-Efficient Online Federated Learning Framework for Nonlinear Regression
    Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh · 2022 · IEEE International Conference on Acoustics Speech and Signal Processing
  31. PPMLAC
    Xing Zhou, Zhilei Xu, Cong Wang, Mingyu Gao · 2022 · Proceedings - International Symposium on Computer Architecture/Proceedings
  32. FeSA: Automatic Federated Swarm Attestation on Dynamic Large-Scale IoT Devices
    Boyu Kuang, Anmin Fu, Yansong Gao, Yuqing Zhang, Jianying Zhou, Robert Huijie Deng · 2022 · IEEE Transactions on Dependable and Secure Computing
  33. Intelligent Reflecting Surface-Assisted Low-Latency Federated Learning Over Wireless Networks
    Sun Mao, Lei Liu, Ning Zhang, Jie Hu, Kun Yang, Fei Richard Yu, Victor C. M. Leung · 2022 · IEEE Internet of Things Journal
  34. Privacy-Preserving Data Aggregation Scheme Based on Federated Learning for IIoT
    Hongbin Fan, Zhi Zhou · 2023 · Mathematics
  35. Privacy-preserving estimation of electric vehicle charging behavior: A federated learning approach based on differential privacy
    Xiuping Kong, Lin Tao Lü, Ke Xiong · 2024 · Internet of Things
  36. Machine Learning for Computer Systems and Networking: A Survey
    Marios Evangelos Kanakis, Ramin Khalili, Lin Wang · 2022 · ACM Computing Surveys
  37. Neural Load Disaggregation: Meta-Analysis, Federated Learning and Beyond
    Hafsa Bousbiat, Yassine Himeur, Iraklis Varlamis, Fayçal Bensaali, Abbes Amira · 2023 · Energies
  38. Systematic Survey: Secure and Privacy-Preserving Big Data Analytics in Cloud
    Arun Amaithi Rajan, V. Vetriselvi · 2023 · Journal of Computer Information Systems
  39. Long-Term Privacy-Preserving Aggregation With User-Dynamics for Federated Learning
    Ziyao Liu, Hsiao-Ying Lin, Yamin Liu · 2023 · IEEE Transactions on Information Forensics and Security
  40. Federated Learning Based Privacy Ensured Sensor Communication in IoT Networks: A Taxonomy, Threats and Attacks
    Sheikh Imroza Manzoor, Sanjeev Jain, Yashwant Prasad Singh, Harvinder Singh · 2023 · IEEE Access
  41. Federated Split Learning via Mutual Knowledge Distillation
    Linjun Luo, Xinglin Zhang · 2024 · IEEE Transactions on Network Science and Engineering
  42. A comprehensive survey and taxonomy on privacy-preserving deep learning
    Tran, Anh-Tu, Luong, The-Dung, Huynh, Van-Nam · 2024 · Neurocomputing
  43. Privacy-Preserving Fleet-Wide Learning of Wind Turbine Conditions with Federated Learning
    Lorin Jenkel, Stefan Jonas, Angela Meyer · 2023 · Energies
  44. NSPFL: A Novel Secure and Privacy-Preserving Federated Learning With Data Integrity Auditing
    Zehu Zhang, Yanping Li · 2024 · IEEE Transactions on Information Forensics and Security
  45. Federated semi-supervised representation augmentation with cross-institutional knowledge transfer for healthcare collaboration
    Zilong Yin, Haoyu Wang, Bin Chen, Xin Zhang, X. S. Lin, Hangling Sun, Anji Li, Chenyu Zhou · 2024 · Knowledge-Based Systems
  46. A Survey of Differential Privacy Techniques for Federated Learning
    Xin Wang, Li Jiaqian, Ding Xueshuang, Haoji Zhang, Sun Lianshan · 2024 · IEEE Access
  47. Secure Federated Learning for Cloud-Fog Automation: Vulnerabilities, Challenges, Solutions, and Future Directions
    Zhuangzhuang Zhang, Libing Wu, Jiong Jin, Enshu Wang, Bingyi Liu, Qing‐Long Han · 2025 · IEEE Transactions on Industrial Informatics
  48. Collaborative Byzantine Resilient Federated Learning
    Ala Gouissem, Khalid Abualsaud, Elias E. Yaacoub, Tamer M. Khattab, Mohsen Guizani · 2023 · IEEE Internet of Things Journal
  49. Multi-tasking Federated Learning meets Blockchain to Foster Trust and Security in the Metaverse
    Hajar Moudoud, Soumaya Cherkaoui · 2023 · Ad Hoc Networks
  50. Privacy-Preserving in Medical Image Analysis: A Review of Methods and Applications
    Yanming Zhu, Xuefei Yin, Alan Wee‐Chung Liew, Hui Tian · 2025 · Lecture notes in computer science
  51. Enhancing security in financial transactions: a novel blockchain-based federated learning framework for detecting counterfeit data in fintech
    Hasnain Rabbani, Muhammad Farrukh Shahid, Tariq Jamil Saifullah Khanzada, Shahbaz Siddiqui, Mona Mamdouh Jamjoom, Rehab Bahaaddin Ashari, Zahid Ullah, M. Umair Mukati, Mustafa Nooruddin · 2024 · PeerJ Computer Science
  52. Multimodal Federated Learning in AIoT Systems: Existing Solutions, Applications, and Challenges
    Christos Anagnostopoulos, Αλέξανδρος Γκίλλας, Christos Mavrokefalidis, Erion‐Vasilis Pikoulis, Nikos Piperigkos, Aris S. Lalos · 2024 · IEEE Access
  53. A survey on group fairness in federated learning: challenges, taxonomy of solutions and directions for future research
    Teresa Salazar, Helder Jesus Araújo, Alberto Cano, Pedro Henriques Abreu · 2026 · Artificial Intelligence Review
  54. AI Privacy Opinions between US and Chinese People
    Yunfei Xing, Wu He, Zuopeng Zhang, Gaohui Cao · 2022 · Journal of Computer Information Systems
  55. Federated Learning Approach Decouples Clients From Training a Local Model and With the Communication With the Server
    Konstantinos D. Stergiou, Kostas E. Psannis · 2022 · IEEE Transactions on Network and Service Management
  56. Framing Network Flow for Anomaly Detection Using Image Recognition and Federated Learning
    Jevgenijus Toldinas, Algimantas Venčkauskas, Agnius Liutkevičius, Nerijus Morkevičius · 2022 · Electronics
  57. On a Framework for Federated Cluster Analysis
    Morris Stallmann, Anna Wilbik · 2022 · Applied Sciences
  58. PrivaTree: Collaborative Privacy-Preserving Training of Decision Trees on Biomedical Data
    Yamane El-Zein, Mathieu Lemay, Kévin Huguenin · 2023 · IEEE Transactions on Computational Biology and Bioinformatics
  59. Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation
    Heng Yu Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu · 2024 · IEEE Transactions on Big Data
  60. ALDP-FL for adaptive local differential privacy in federated learning
    Lixin Cui, Xu Wu · 2025 · Scientific Reports
  61. Federated learning algorithms for generalized mixed-effects model (GLMM) on horizontally partitioned data from distributed sources
    Wentao Li, Jiayi Tong, Md. Monowar Anjum, Noman Mohammed, Yong Chen, Xiaoqian Jiang · 2022 · BMC Medical Informatics and Decision Making
  62. FLSG: A Novel Defense Strategy Against Inference Attacks in Vertical Federated Learning
    Kai Fan, Jingtao Hong, Wenjie Li, Xingwen Zhao, Hui Li, Yintang Yang · 2023 · IEEE Internet of Things Journal
  63. A Systematic Literature Review on the Use of Federated Learning and Bioinspired Computing
    Rafael Marin Machado de Souza, Andrew Holm, Márcio Biczyk, Leandro Nunes de Castro · 2024 · Electronics
  64. Knowledge distillation in federated learning: a comprehensive survey
    Hassan Salman, Chamseddine Zaki, Nour Charara, Sonia Guéhis, Jean‐François Pradat‐Peyre, Abbass Nasser · 2025 · Discover Computing
  65. Behave Differently when Clustering: A Semi-asynchronous Federated Learning Approach for IoT
    Boyu Fan, Xiang Jun Su, Sasu Tarkoma, Pan Hui · 2024 · ACM Transactions on Sensor Networks
  66. Exploiting Complex Network-Based Clustering for Personalization-Enhanced Hierarchical Federated Edge Learning
    Zijian Li, Zihan Chen, Xiaohui Wei, Shang Bing Gao, Hengshan Yue, Zhewen Xu, Tony Q. S. Quek · 2024 · IEEE Transactions on Mobile Computing
  67. FedUP: Bridging Fairness and Efficiency in Cross-Silo Federated Learning
    Haibo Liu, Jianfeng Lu, Xiong Wang, Chen Wang, Riheng Jia, Minglu Li · 2024 · IEEE Transactions on Services Computing
  68. A Privacy-Preserving Collaborative Federated Learning Framework for Detecting Retinal Diseases
    Seema Gulati, Kalpna Guleria, Nitin Goyal, Ahmad Ali AlZubi, Ángel Kuc Castilla · 2024 · IEEE Access
  69. Exploring the Integration of Artificial Intelligence in Sports Coaching: Enhancing Training Efficiency, Injury Prevention, and Overcoming Implementation Barriers
    Zeqi Huang, Wenjun Wang, Zixuan Jia, Ziqi Wang · 2024 · Journal of Computer and Communications
  70. Trust-based secure federated learning framework to mitigate internal attacks for intelligent vehicular networks
    D. S. Bhupal Naik, Venkatesulu Dondeti · 2025 · Peer-to-Peer Networking and Applications
  71. Infrastructure Assisted Autonomous Driving: Research, Challenges, and Opportunities
    Roshan George, Joseph Clancy, Tim Brophy, Ganesh Sistu, William O'Grady, Sunil Chandra, Fiachra Collins, Darragh Mullins, Edward Jones, Brian Michael Deegan et al. · 2025 · IEEE Open Journal of Vehicular Technology
  72. Utility-driven assessment of anonymized data via clustering
    Maria Eugénia Ferrão, Paula Prata, Paulo Fazendeiro · 2022 · Scientific Data
  73. A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues
    Zibo Wang, Haichao Ji, Yifei Zhu, Dan Wang, Zhu Han · 2025 · IEEE Communications Surveys & Tutorials
  74. On the security and privacy of federated learning: A survey with attacks, defenses, frameworks, applications, and future directions
    Daniel M. Jimenez-Gutierrez, Yelizaveta Falkouskaya, José L. Hernández-Ramos, Aris Anagnostopoulos, Ioannis Chatzigiannakis, Andrea Vitaletti · 2026 · Information Fusion
  75. Federated Learning Meets Blockchain to Secure the Metaverse
    Hajar Moudoud, Soumaya Cherkaoui · 2023 · International Wireless Communications and Mobile Computing Conference (IWCMC)
  76. Incentive mechanism design for Federated Learning with Stackelberg game perspective in the industrial scenario
    Wei Guo, Yijin Wang, Pingyu Jiang · 2023 · Computers & Industrial Engineering
  77. Federated Learning Based Task Orchestration Scheme Using Intelligent Vehicular Edge Networks
    Nishu Bansal, Shilpi Mittal, Rasmeet Singh Bali, Neeraj Kumar, Joel J. P. C. Rodrigues, Liang Zhao · 2023 · International Conference on Communications
  78. BOppCL: Blockchain-Enabled Opportunistic Federated Learning Applied in Intelligent Transportation Systems
    Qiong Li, Wennan Wang, Yizhao Zhu, Zuobin Ying · 2023 · Electronics
  79. Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data
    Vikhyat Agrawal, Sunil V. Kalmady, Venkataseetharam Manoj Malipeddi, Manisimha Varma Manthena, Weijie Sun, Md. Saiful Islam, Abram Hindle, Padma Kaul, Russell Greiner · 2024 · International Conference on Medical and Health Informatics (ICMHI)
  80. Privacy preserving federated learning for proton exchange membrane fuel cell
    Zehui Zhang, Ningxin He, Weiwei Huo, Xiaobin Xu, Chao Sun, Jianwei Li · 2025 · Renewable and Sustainable Energy Reviews
  81. Federated Learning in IoT Environments: Examining the Three-Way See-Saw for Privacy, Model-Performance, and Network-Efficiency
    Roufaida Laidi, Nassima Merabtine, Djamel Djenouri, Shahid Latif, Hemin Ali Qadir, Youcef Djenouri, Ilangko Balasingham · 2025 · IEEE Communications Surveys & Tutorials
  82. Privacy-preserving deep learning for pervasive health monitoring: a study of environment requirements and existing solutions adequacy
    Amine Boulemtafes, Abdelouahid Derhab, Yacine Challal · 2022 · Health and Technology
  83. Secure Aggregation in Heterogeneous Federated Learning for Digital Ecosystems
    Jiao Zhang, Xiong Li, Ke Gu, Wei Liang, Kuan‐Ching Li · 2023 · IEEE Transactions on Consumer Electronics
  84. MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning
    Soumya Banerjee, Sandip Roy, Sayyed Farid Ahamed, Devin Quinn, Marc Vucovich, Dhruv Nandakumar, Kevin Choi, Abdul Rahman, Edward Bowen, Sachin S. Shetty · 2024 · 2012 International Conference on Computing, Networking and Communications (ICNC)
  85. MODNO: Multi-Operator learning with Distributed Neural Operators
    Zecheng Zhang · 2024 · Computer Methods in Applied Mechanics and Engineering
  86. A Systematic Review on Federated Learning in Edge-Cloud Continuum
    Sambit Kumar Mishra, Subham Kumar Sahoo, Chinmaya Kumar Swain · 2024 · SN Computer Science
  87. Robust Federated Unlearning
    Xinyi Sheng, Wei Bao, Liming Ge · 2024 · ACM International Conference on Information and Knowledge Management (CIKM)
  88. Enhancing Accuracy-Privacy Trade-Off in Differentially Private Split Learning
    Ngoc Duy Pham, Khoa T. Phan, Naveen Chilamkurti · 2024 · IEEE Transactions on Emerging Topics in Computational Intelligence
  89. SAFE-IDS: A privacy-preserving framework for overcoming non-IID challenges in federated intrusion detection
    Alimov Abdulboriy Abdulkhay Ugli, Ji Sun Shin · 2025 · Computers & Security
  90. A Survey on Distributed Evolutionary Computation
    Feng-Feng Wei, Wei–Neng Chen, Tian-Fang Zhao, Kay Chen Tan, Jun Zhang · 2025 · IEEE Computational Intelligence Magazine
  91. A Secure and Privacy-Preserving Approach to Healthcare Data Collaboration
    Amna Adnan, Firdous Kausar, Muhammad Shoaib, Faiza Iqbal, Ayesha Altaf, Hafiz M. Asif · 2025 · Symmetry
  92. Federated Security for Privacy Preservation of Healthcare Data in Edge-Cloud Environments
    Rasanga Jayaweera, Himanshu Agrawal, Nickson M. Karie · 2025 · Sensors
  93. Federated learning in oncology: Bridging artificial intelligence innovation and privacy protection
    Xin Qi, Tao Xu, Chengrun Dang, Zhuang Qi, Lei Meng, Han Yu · 2026 · Information Fusion
  94. Privacy-Preserving Multi-Label Propagation Based on Federated Learning
    Kun Guo, Dangrun Chen, Qingqing Huang, Fuan Li, Chen Guo, Duanji Wu, Ximeng Liu, Kai Chen · 2023 · IEEE Transactions on Network Science and Engineering
  95. Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
    Shenghui Li, Edith C.‐H. Ngai, Fanghua Ye, Li Ju, Tianru Zhang, Thiemo Voigt · 2024 · IEEE/ACM International Conference on Internet-of-Things Design and Implementation (IoTDI)
  96. HierFedPDP:Hierarchical federated learning with personalized differential privacy
    Sitong Li, Yifan Liu, Fan Feng, Yi Liu, Xiaofei Li, Zhenpeng Liu · 2024 · Journal of Information Security and Applications
  97. VCSA: Verifiable and collusion-resistant secure aggregation for federated learning using symmetric homomorphic encryption
    Yang Ming, Shan Wang, Chenhao Wang, Hang Liu, Yutong Deng, Yi Zhao, Jie Feng · 2024 · Journal of Systems Architecture
  98. Privacy Issues, Attacks, Countermeasures and Open Problems in Federated Learning: A Survey
    Blessing Guembe, Sanjay Misra, Ambrose Agbon Azeta · 2024 · Applied Artificial Intelligence
  99. A Synergic Approach of Deep Learning towards Digital Additive Manufacturing: A Review
    Ayush Pratap, Neha Sardana, Sapdo Utomo, John Ayeelyan, Periyasami Karthikeyan, Pao‐Ann Hsiung · 2022 · Algorithms
  100. EHR Security and Privacy Aspects: A Systematic Review
    Sourav Banerjee, Sudip Barik, Debashis Das, Uttam Ghosh · 2023 · IFIP advances in information and communication technology