团队名称：联邦强化学习科研创新团队

团队负责人：刘天

团队成员：黄婕，李旭宏，华宏轩，李海涛

团队简介：联邦强化学习科研创新团队包含老师5名，其中副教授3名，讲师2名。团队近5年承担横向科研项目7项，共记77.5万元，获得校级科研奖励2项，发表学术论文21篇。研究方向主要包括机器学习、联邦学习、强化学习、物联网、隐私保护等。

团队代表成果：

1.Efficient Federated Learning for AIoT Applications Using Knowledge Distillation, IOT

2.An Ensemble Learning-Based Cooperative Defensive Architecture Against Adversarial Attacks, JCSC

3.Towards Fast and Accurate Fedrated Learning with non-IID Data for Cloud-Based IoT Applications, JCSC

4.PervasiveFL: Pervasive Federated Learning for Heterogeneous IoT Systems, TCAD

5.FDA3: Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications, TII