Kaibin Wang

About Me

I am Dr. Kaibin Wang, a Postdoctoral Research Fellow in the Department of Computing Technologies at Swinburne University of Technology, working with Prof. Qiang He and Prof. Yun Yang. My research focuses on Federated Learning (FL), Edge Computing, and the intersection of FL and Large Language Models (LLMs). I have published papers in top-tier venues such as EuroSys, WWW, and TSC. More details can be found here.

My current research explores efficient and privacy-preserving AI systems that integrate Federated Learning with foundation models. I am particularly interested in scalable, communication-efficient training strategies and the application of edge intelligence to real-world distributed environments. I am passionate about advancing responsible and deployable AI technologies through interdisciplinary collaboration.

News

• [Jan. 2026] Our paper FedBridge has been accepted by ACM The Web Conference (WWW)'26.
• [Dec. 2025] I am invited to serve as the PC member for AGENT 2026.
• [Nov. 2025] Invited by Dr. Xiaoyu Xia, I delivered a guest lecture at RMIT University on "Federated Learning for IoT"..
• [Mar. 2025] I am honored to receive the 2024 Best Student Paper Award from the School of Science, Computing, and Engineering Technologies at Swinburne University of Technology.
• [Mar. 2025] Our paper Hourglass has been accepted by ACM European Conference on Computer Systems (EuroSys)'25.
• [Feb. 2025] Our paper Maverick has been accepted by ACM The Web Conference (WWW)'25.
• [Feb. 2023] Our two papers, FlexiFed and FedEdge, has been accepted by ACM The Web Conference (WWW)'23.

Publications

EuroSys'25

Hourglass: Enabling Efficient Split Federated Learning with Data Parallelism

Qiang He, Kaibin Wang, Zeqian Dong, Liang Yuan, Feifei Chen, Hai Jin, and Yun Yang.

ACM European Conference on Computer Systems, 2025. (CCF Rank A, Core Rank A)

WWW'25

Maverick: Personalized Edge-Assisted Federated Learning with Contrastive Training

Kaibin Wang, Qiang He, Zeqian Dong, Rui Chen, Chuan He, Caslon Chua, Feifei Chen, Yun Yang.

ACM the Web Conference, 2025. (CCF Rank A, Core Rank A*)

WWW'23

FedEdge: Accelerating Edge-Assisted Federated Learning

Kaibin Wang, Qiang He, Feifei Chen, Hai Jin, Yun Yang.

ACM the Web Conference, 2023. (CCF Rank A, Core Rank A*)

WWW'23

Flexifed: Personalized Federated Learning for Edge Clients with Heterogeneous Model Architectures

Kaibin Wang, Qiang He, Feifei Chen, Chunyang Chen, Faliang Huang, Hai Jin, Yun Yang.

ACM the Web Conference, 2023. (CCF Rank A, Core Rank A*)

TSC'21

Covering-Based Web Service Quality Prediction via Neighborhood-Aware Matrix Factorization

Yiwen Zhang, Kaibin Wang, Qiang He, Feifei Chen, Shuiguang Deng, Zibin Zheng, Yun Yang.

IEEE Transactions on Services Computing, 2021. (CCF Rank A, Core Rank A*)

Awards

• [March. 2025] 2024 SoSCET Best Student Paper Award at Swinburne.

Teaching

• 2025 Fall, Undergraduate, COS10005, Web Development, Swinburne.
• 2022 Fall - 2024 Fall, Undergraduate, COS10026, Computing Technology Inquiry Project, Swinburne.
• 2022 Fall - 2023 Fall, Undergraduate & Graduate, COS10011 & COS60004, Creating Web Applications, Swinburne.