CV

Education

• Visiting Scholar in Computer Science, The Chinese University of Hong Kong, Shenzhen, 2025.3-2025.7. Advisor: Jianwei Huang.
• Postdoctoral Fellow in Computer Scienece, Shanghai Jiao Tong University, 2024-2026. Advisors: Jianhua Li and Minyi Guo.
• PhD in Electronic Information, Shanghai Jiao Tong University, 2020-2024. Advisors: Jianhua Li and Jun Wu.
• M.S. in Mechanical Engineering, Jilin University, 2017-2020. Advisor: Guoqiang Wang.
• B.S. in Agricultural Mechanisation and Automation, Shandong Agricultural University, 2012-2016

Research Interest

• Data Privacy Protection and Security in IoV.
• Distributed Machine Learning Privacy and Security (e.g. Federated Learning, Deep Reinforcement Learning).
• Large Language Model Privacy and Security.
• Game Theory and its Applications in IoT and Machine Learning.

Projects

• National Natural Science Foundation of China Youth Fund Project, Leader, 2026-2028.

Grants & Honors

• 2022, Campus-level Outstanding Graduation Paper Top: 5%
• 2021, Provincial Outstanding Graduates Top: 3%
• 2017-2020, Academic scholarships (RMB 50,000) Top: 3%
• 2020, Postgraduate National Scholarships (RMB 20,000) Top: 0.2%
• 2017-2020, Student Scholarship (three times) (RMB 8,000) Top: 10%
• 2016, Outstanding Graduates Top: 10%
• 2016, Campus-level Outstanding Graduation Paper Top: 5%
• 2012-2016, Student Scholarship (three times) (RMB 24,000) Top: 5%
• 2016, Freshman Innovation and Entrepreneurship Mentor Top: 5%
• 2015, Shandong Province Student Electronic Design Competition, Second Prize Top: 10%
• 2015, School-level Science and Technology Innovation Single Award (RMB 5,000) Top: 10%
• 2014, Electronic Design Competition, First Prize Top: 1%
• 2013, Shandong Hengnuo Innovation Practice Advanced Individual Award Top: 10%

Publications

Large-Scale Mean-Field Federated Learning for Detection and Defense against Byzantine Attacks in IoT

Kangkang Sun, Lizheng Liu, Qianqian Pan, Jianhua Li and Ju Wu, "Large-Scale Mean-Field Federated Learning for Detection and Defense: A Byzantine Robustness Approach in IoT," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2024.3409610. (First Author, IF：8.9)

Joint Top-K Sparsification and Shuffle Model for Communication-Privacy-Accuracy Tradeoffs in Federated-Learning-Based IoV

Kangkang Sun; Hansong Xu; Kun Hua; Xi Lin; Gaolei Li; Tigang Jiang and Jianhua Li, "Joint Top-K Sparsification and Shuffle Model for Communication-Privacy-Accuracy Tradeoffs in Federated-Learning-Based IoV," in IEEE Internet of Things Journal, vol. 11, no. 11, pp. 19721-19735, 1 June1, 2024, doi: 10.1109/JIOT.2024.3370991. (First Author, IF:8.9)

Personalized Privacy-Preserving Distributed Artificial Intelligence for Digital-Twin-Driven Vehicle Road Cooperation

Kangkang Sun, Jun Wu, Ali Kashif Bashir, Jianhua Li, Hansong Xu, Qianqian Pan and Yasser D. Al-Otaibi, "Personalized Privacy-Preserving Distributed Artificial Intelligence for Digital-Twin-Driven Vehicle Road Cooperation," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2024.3389656.(First Author, IF:8.9)

Dynamic Privacy Protection of Federated Learning for Vehicular Digital Twin Networks

Kangkang Sun, Hansong Xu, Xiaojin Zhang, Kun Hua and Jianhua Li. Time-Sensitive Local Differential Privacy-Based Federated Learning for Vehicular Digital Twin Networks[C]//International Symposium on Intelligent Computing and Networking. Cham: Springer Nature Switzerland, 2024: 105-118. (First Author)

Reputation-Aware Incentive Mechanism of Federated Learning: A Mean Field Game Approach

Kangkang Sun, Ju Wu and Jianhua Li, "Reputation-Aware Incentive Mechanism of Federated Learning: A Mean Field Game Approach," 2024 9th IEEE International Conference on Smart Cloud (SmartCloud), NYC, NY, USA, 2024, pp. 48-53, doi: 10.1109/SmartCloud62736.2024.00016. (First Author)

Toward the Tradeoffs between Privacy, Fairness and Utility in Federated Learning

Kangkang Sun, Xiaojin Zhang, Lin Xi, Gaolei Li, Jing Wang and Jianhua Li. Toward the Tradeoffs Between Privacy, Fairness and Utility in Federated Learning[C]//International Symposium on Emerging Information Security and Applications. Singapore: Springer Nature Singapore, 2023: 118-132. (First Author)

Leveraging Digital Twin and DRL for Collaborative Context Offloading in C-V2X Autonomous Driving

Kangkang Sun, Jun Wu, Qianqian Pan, Xi Zheng, Jianhua Li and Shui Yu, "Leveraging Digital Twin and DRL for Collaborative Context Offloading in C-V2X Autonomous Driving," in IEEE Transactions on Vehicular Technology, vol. 73, no. 4, pp. 5020-5035, April 2024, doi: 10.1109/TVT.2023.3333243. (First Author, IF: 7.1)

Optimization and Design of Hammerheads and Fenders on Scrap Metal Shredders Based on Improved Genetic Algorithm

He Tian, Guoqiang Wang, Kangkang Sun, Zeren Chen, Chuliang Yan and Da Cui. Optimization and design of hammerheads and fenders on scrap metal shredders based on improved genetic algorithm[J]. Shock and Vibration, 2021, 2021(1): 1196299.

Optimization and design of hammerheads and fenders on scrap metal shredders based on improved genetic algorithm

Da Cui, Guoqiang Wang, Yanpeng Lu and Kangkang Sun. Reliability design and optimization of the planetary gear by a GA based on the DEM and Kriging model[J]. Reliability Engineering & System Safety, 2020, 203: 107074. (Corresponding Author, IF: 9.4)

Study on electromechanical performance of steering of the electric articulated tracked vehicles

Jia qi Wu, Guoqiang Wang, Huanyu Zhao and Kangkang Sun. Study on electromechanical performance of steering of the electric articulated tracked vehicles[J]. Journal of Mechanical Science and Technology, 2019, 33: 3171-3185. (Correspongding Author, IF: 1.7)

Optimization method of Bevel Gear Reliability based on Genetic Algorithm and Discrete Element

Kangkang Sun, Guoqiang Wang and Yanpeng Lu. Optimization method of bevel gear reliability based on genetic algorithm and discrete element[J]. Eksploatacja i Niezawodność, 2019, 21(2): 186-196. (First Author, IF: 2.2)

Talks

Conference Proceeding Talk on Time-Sensitive Local Differential Privacy-Based Federated Learning for Vehicular Digital Twin Networks

August 08, 2024

Tutorial at International Symposium on Intelligent Computing and Networking, Hyatt Place San Juan, Puerto Rico, USA

Conference Proceeding Talk on Reputation-Aware Incentive Mechanism of Federated Learning: A Mean Field Game Approach

May 12, 2024

Talk at 2024 9th IEEE International Conference on Smart Cloud (SmartCloud), NYC, NY, USA

Conference Proceeding Talk on Vehicular Digital Twin Context Offloading with Reinforcement Learning and Mean Field Game

May 01, 2023

Conference proceedings talk at Global Information and Telecommunication Workshop 2023 (GITW 2023), Tokyo, Japan

Conference Proceeding Talk on Toward the Tradeoffs between Privacy, Fairness and Utility in Federated Learning

January 04, 2023

Talk at International Symposium on Emerging Information Security and Applications (EISA 2023), Hangzhou, China

Teaching

Service and leadership

• Currently signed in to 43 different slack teams