ZHUOTAO LIAN

Last Updated :2026/01/17

Affiliations, Positions
Graduate School of Advanced Science and Engineering, Assistant Professor
E-mail
lian-zhuotaohiroshima-u.ac.jp
Self-introduction
I work in the field of AI privacy and security, with a focus on federated learning, privacy-preserving techniques, blockchain-based systems, and the security of large language models. My research explores how to enhance the privacy and resilience of machine learning systems without sacrificing usability or performance. I aim to contribute to the development of an AI society that values privacy and security.

Basic Information

Major Professional Backgrounds

  • 2025/04/01, Hiroshima University, Graduate School of Advanced Science and Engineering, Assistant Professor
  • 2024/04/01, 2025/03/31, Kyushu University, Faculty of Information Science and Electrical Engineering, JSPS Postdoctoral Fellow

Educational Backgrounds

  • University of Aizu, Graduate School of Computer Science and Engineering, Doctoral Program, Japan, 2021/10/01, 2024/03/31
  • University of Aizu, Graduate School of Computer Science and Engineering, Master's Program, Japan, 2019/10/01, 2021/09/30
  • China University of Geosciences, Department of Computer Science and Technology, Bachelor's program, China, 2016/09/01, 2020/06/30

Academic Degrees

  • University of Aizu
  • University of Aizu

Research Fields

  • Informatics;Computing Technologies;Information security

Educational Activity

Course in Charge

  1. 2025, Liberal Arts Education Program1, 3Term, Starting Programming from Scratch
  2. 2025, Graduate Education (Doctoral Program) , 3Term, Data Science
  3. 2025, Undergraduate Education, First Semester, Programming I
  4. 2025, Undergraduate Education, Second Semester, Programming II
  5. 2025, Undergraduate Education, 1Term, Computer Science Seminar I
  6. 2025, Undergraduate Education, 2Term, Computer Science Seminar II
  7. 2025, Undergraduate Education, Second Semester, Graduation Thesis

Research Activities

Academic Papers

  1. POSTER: A Server-Side Proactive Defense Framework for Poison-Resilient Federated Learning, Lecture Notes in Computer Science, 16172 LNCS, 498-502, 20260101
  2. Preface, Lecture Notes in Computer Science, 16172 LNCS, 20260101
  3. Preface, Lecture Notes in Computer Science, 16172 LNCS, 20260101
  4. A Reputation-Aware Defense Framework for Strategic Behaviors in Federated Learning, Telecom, 6(3), 20250901
  5. Privacy-Preserving LLM Agent for Multi-modal Health Monitoring, Lecture Notes in Computer Science, 16172 LNCS, 488-492, 20260101
  6. POSTER: Tricking LLM-Based NPCs into Spilling Secrets, Lecture Notes in Computer Science, 16172 LNCS, 483-487, 20260101
  7. POSTER: AI-Based Physical Layer Key Generation Mechanism, Lecture Notes in Computer Science, 16172 LNCS, 493-497, 20260101
  8. WiFi-based Intelligent Wireless Sensing for Privacy-Preserving Human Behavior Recognition under AIoT Architecture, Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications, 16(1), 104-120, 20250301
  9. RTCS: An Improved Real-Time Credibility-Based Intrusion Detection System, IEEE Internet of Things Journal, 12(8), 10948-10957, 20250101
  10. Asynchronous Remote Distributed Key Generation Method for Securing User Data in the Metaverse, IEEE Transactions on Consumer Electronics, 71(1), 198-208, 20250101
  11. Privacy-Enhanced Federated WiFi Sensing for Health Monitoring in Internet of Things, IEEE Internet of Things Journal, 12(3), 2994-3002, 20250101
  12. Traffic Sign Recognition Using Optimized Federated Learning in Internet of Vehicles, IEEE Internet of Things Journal, 11(4), 6722-6729, 20240215
  13. Guest Editorial: Metaverse for Healthcare Trends, Challenges, and Solutions, IEEE Journal of Biomedical and Health Informatics, 28(11), 6296-6297, 20240101
  14. PCIDS: Permission and Credibility-Based Intrusion Detection System in IoT Gateways, IEEE Internet of Things Journal, 11(1), 904-913, 20240101
  15. FIND: Privacy-Enhanced Federated Learning for Intelligent Fake News Detection, IEEE Transactions on Computational Social Systems, 11(4), 5005-5014, 20240101
  16. Blockchain-Based Personalized Federated Learning for Internet of Medical Things, IEEE Transactions on Sustainable Computing, 8(4), 694-702, 20231001
  17. Blockchain-Based Two-Stage Federated Learning With Non-IID Data in IoMT System, IEEE Transactions on Computational Social Systems, 10(4), 1701-1710, 20230801
  18. DEEP-FEL: Decentralized, Efficient and Privacy-Enhanced Federated Edge Learning for Healthcare Cyber Physical Systems, IEEE Transactions on Network Science and Engineering, 9(5), 3558-3569, 20220101
  19. COFEL: Communication-Efficient and Optimized Federated Learning with Local Differential Privacy, IEEE International Conference on Communications, 20210601
  20. Secure-Enhanced Federated Learning for AI-Empowered Electric Vehicle Energy Prediction, IEEE Consumer Electronics Magazine, 12(2), 27-34, 20230301
  21. SVBE: searchable and verifiable blockchain-based electronic medical records system, Scientific Reports, 12(1), 20221201
  22. Layer-Based Communication-Efficient Federated Learning with Privacy Preservation, IEICE Transactions on Information and Systems, E105D(2), 256-263, 20220101
  23. Decentralized Federated Learning for Internet of Things Anomaly Detection, Asia Ccs 2022 Proceedings of the 2022 ACM Asia Conference on Computer and Communications Security, 1249-1251, 20220530
  24. CNN-Based Attack Defense for Device-Free Localization, Mobile Information Systems, 2022, 20220101
  25. WebFed: Cross-platform Federated Learning Framework Based on Web Browser with Local Differential Privacy, IEEE International Conference on Communications, 2022-May, 2071-2076, 20220101
  26. Road crash risk prediction during COVID-19 for flash crowd traffic prevention: The case of Los Angeles, Computer Communications, 198, 195-205, 20230115
  27. Privacy-preserving Blockchain-based Global Data Sharing for Federated Learning with Non-IID Data, Proceedings 2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops Icdcsw 2022, 193-198, 20220101
  28. Privacy-Enhanced Federated Generative Adversarial Networks for Internet of Things, Computer Journal, 65(11), 2860-2869, 20221101
  29. SPoiL: Sybil-Based Untargeted Data Poisoning Attacks in Federated Learning, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 13983 LNCS, 235-248, 20230101
  30. Privacy-stealing Approach in Distributed IoMT Systems, Proceedings 2023 16th IEEE International Symposium on Embedded Multicore Many Core Systems on Chip Mcsoc 2023, 301-305, 20230101
  31. A review and implementation of physical layer channel key generation in the Internet of Things, Journal of Information Security and Applications, 83, 20240601
  32. AggreMark: Efficient Watermarking in Federated Learning via Weighted Averaging, Proceedings IEEE Congress on Cybermatics 2024 IEEE International Conferences on Internet of Things Ithings 2024 IEEE Green Computing and Communications Greencom 2024 IEEE Cyber Physical and Social Computing Cpscom 2024 IEEE Smart Data Smartdata 2024, 473-478, 20240101
  33. Privacy-Preserving Parameter Aggregation Scheme Based on Two Leaders for Federated Learning, Proceedings 2024 IEEE Cyber Science and Technology Congress Cyberscitech 2024, 125-131, 20240101
  34. Evaluating Differential Privacy in Federated Continual Learning: A Catastrophic Forgetting-Performance Tradeoff Analysis, Proceedings 2024 12th International Symposium on Computing and Networking Candar 2024, 135-141, 20240101

Invited Lecture, Oral Presentation, Poster Presentation

  1. Evaluating Differential Privacy in Federated Continual Learning: A Catastrophic Forgetting-Performance Tradeoff Analysis, CANDAR 2025: The Thirteenth International Symposium on Computing and Networking, 2025/11/25, Without Invitation, English
  2. Credit-Aware Voting for Decentralized Federated Learning, IWSEC 2023: International Workshop on Security, 2023/08/29, Without Invitation, English
  3. SPoiL: Sybil-Based Untargeted Data Poisoning Attacks in Federated Learning, NSS 2023: 17th International Conference on Network and System Security, 2023/08/14, Without Invitation, English
  4. Decentralized Federated Learning for Internet of Things Anomaly Detection, ASIA CCS: ACM on Asia Conference on Computer and Communications Security, 2022/05/30, Without Invitation, English
  5. WebFed: Cross-platform Federated Learning Framework Based on Web Browser with Local Differential Privacy, ICC 2022: IEEE International Conference on Communications, 2022/05/16, Without Invitation, English
  6. Privacy-preserving Blockchain Based Global Data Sharing for Federated Learning with Non-IID Data, SCIS2022 Symposium on Cryptography and Information Security, Without Invitation, English

External Funds

Acceptance Results of Competitive Funds

  1. Grants-in-Aid for Scientific Research (KAKENHI), Enhancing efficiency and privacy of federated learning systems for IoT applications, 2024/04/23

Social Activities

History as Committee Members

  1. Member, IPSJ
  2. Member, IEEE
  3. Vice Chair, IEEE Student Branch of the University of Aizu

History as Peer Reviews of Academic Papers

  1. 2025, IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, Editor, Special Issue Editor
  2. 2025, Mathematics, Editor, Special Issue Editor