主要学习与工作经历：
2011.09—2015.06 黄山学院，计算机科学与技术，学士
2016.09—2019.06 安徽大学，计算机科学与技术，硕士
2022.02—2026.03 斯文本科技大学，计算机科学，博士
2025.09—2026.04 斯文本科技大学，计算机技术系，博后
2026.08—至今 安徽工程大学，计算机与信息学院，软件工程系，讲师
联系邮箱：kaibinwang@ahpu.edu.cn
研究方向：
边缘计算，联邦学习，大模型，多模态
代表性科研成果：
[1] Kaibin Wang, Qiang He, Zeqian Dong, Ziteng Wei, Caslon Chua, Feifei Chen, Hai Jin, and Yun Yang. FedBridge: Accelerating Edge-Assisted Federated Learning for Model-Heterogeneous Clients. ACM Web Conference, 2026. (WWW, CCF A)
[2] Qiang He, Kaibin Wang, Zeqian Dong, Liang Yuan, Feifei Chen, Hai Jin, and Yun Yang. Hourglass: Enabling Efficient Split Federated Learning with Data Parallelism. ACM European Conference on Computer Systems, 2025. (EuroSys, CCF A)
[3] Kaibin Wang, Qiang He, Zeqian Dong, Rui Chen, Chuan He, Caslon Chua, Feifei Chen, Yun Yang. Maverick: Personalized Edge-Assisted Federated Learning with Contrastive Training. ACM Web Conference, 2025. (WWW, CCF A)
[4] Kaibin Wang, Qiang He, Feifei Chen, Chunyang Chen, Faliang Huang, Hai Jin, Yun Yang. FlexiFed: Personalized Federated Learning for Edge Clients with Heterogeneous Model Architectures. ACM Web Conference, 2023. (WWW, CCF A)
[5] Kaibin Wang, Qiang He, Feifei Chen, Hai Jin, Yun Yang. FedEdge: Accelerating Edge Assisted Federated Learning. ACM Web Conference, 2023. (WWW, CCF A)