ZHUOTAO LIAN

Last Updated :2025/06/16

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

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, 1Term, Computer Science Seminar I
  5. 2025, Undergraduate Education, 2Term, Computer Science Seminar II
  6. 2025, Undergraduate Education, Second Semester, Graduation Thesis

Research Activities

Academic Papers

  1. A review and implementation of physical layer channel key generation in the Internet of Things, Journal of Information Security and Applications, 83, 20240601
  2. Asynchronous Remote Distributed Key Generation Method for Securing User Data in the Metaverse, IEEE Transactions on Consumer Electronics, 1-1, 20240101
  3. 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
  4. 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
  5. 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
  6. Secure-Enhanced Federated Learning for AI-Empowered Electric Vehicle Energy Prediction, IEEE Consumer Electronics Magazine, 12(2), 27-34, 20230301
  7. Road crash risk prediction during COVID-19 for flash crowd traffic prevention: The case of Los Angeles, Computer Communications, 198, 195-205, 20230115
  8. 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
  9. 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
  10. SVBE: searchable and verifiable blockchain-based electronic medical records system, Scientific Reports, 12(1), 20221201
  11. Privacy-Enhanced Federated Generative Adversarial Networks for Internet of Things, Computer Journal, 65(11), 2860-2869, 20221101
  12. 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
  13. Layer-Based Communication-Efficient Federated Learning with Privacy Preservation, IEICE Transactions on Information and Systems, E105D(2), 256-263, 20220101
  14. CNN-Based Attack Defense for Device-Free Localization, Mobile Information Systems, 2022, 20220101
  15. WebFed: Cross-platform Federated Learning Framework Based on Web Browser with Local Differential Privacy, IEEE International Conference on Communications, 2022-May, 2071-2076, 20220101
  16. 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
  17. COFEL: Communication-Efficient and Optimized Federated Learning with Local Differential Privacy, IEEE International Conference on Communications, 20210601

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