Federatedlearning相关论文
Federated learning(FL),which allows multiple mobile devices to cooperatively train a ma-chine learning model without sha......
Standard machine-learning approaches involve the centralization of training data in a data center,where centralized mach......
As Information,Communications,and Data Technology(ICDT)are deeply integrated,the research of 6G gradually rises.Meanwhil......
With the rapid development of mobile devices,the use of Mobile Crowd Sensing (MCS) mode has become popular to complete m......
With the emergence of AI technologies,intrinsic value of data is released and takes tremendous effects on numerous indus......
An Asynchronous Quasi-Cloud/Edge/Client Collaborative Federated Learning Mechanism for Fault Diagnos
Although the federated learning method has the ability to balance data and protect data privacy by means of model aggreg......
The federated learning method based on model aggregation can balance data and protect privacy, but the existing methods ......
A Federated Bidirectional Connection Broad Learning Scheme for Secure Data Sharing in Internet of Ve
Data sharing in Internet of Vehicles(IoV)makes it possible to provide personalized services for users by service provide......
Edge Computing-Based Joint Client Selection and Networking Scheme for Federated Learning in Vehicula
In order to support advanced vehicular Internet-of-Things(IoT)applications,information exchanges among different vehicle......
