Heterogeneous Graph Neural Network based Federated Mobile Crowdsensing

今年，我发起了基于异构图神经网络的隐私保护人群感知系统的研究。在这一年里，我发表了一篇关于将异构图神经网络用于基于位置的服务的论文发表在CIKM 2022和WWWJ 2022上，两篇关于基于联邦学习的人群感知系统的论文发表在IOTJ 2022上，基于异构图神经网络的室内定位众感方法发表在IOTJ 2023上，基于Shapley的数据评估方法用于传感器的交通预测2022。

This year, I initiated the research on heterogeneous graph neural network based privacy preserving crowdsensing system. In this year, I have achieved several publications: one paper on using heterogeneous graph neural network for location-based services and published in CIKM 2022 and WWWJ 2022, and two papers on federated learning based crowdsensing system are published in IOTJ 2022, heterogeneous graph neural network based methods for crowdsensing way of indoor localization is published in IOTJ 2023, and shapley-based data valuation method for traffic prediction in Sensors 2022.