查看文章

In the mobile Internet era, data has become the essential ingredient for numerous mobile services such as video streaming, GPS navigation, and on-device intelligence. Nevertheless, the resource-restricted nature of mobile devices often obstructs them from collecting and processing all the data as needed individually. Enabling the collaborative use of data among mobile devices hence greatly extends the potential reach of mobile users for external datasets and computation resources, allowing both public and private data to be more efficiently delivered to and processed by various mobile applications. Implementing this collaboration in the real-world however faces both the physical capacity limits and the privacy protection requirements. Fortunately, the state-of-the-art edge computing framework empowered by 5G-based heterogeneous networks and the recent advances in privacy-preserving federated learning …