联邦强化学习科研创新团队

时间:2023-06-15

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

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