… based on vertical federal learning and addresses the theoretical and practical issues with
data … We can work together using federated transfer learning when the overlap of training data …

… use the wireless data, especially the physical layer data? 2. … network to interpolate and
then learn codeword-(n + 1). … to handle network optimization problems with nonconvexity and …

… federated learning can be organically combined with the localization models. … Deep
learning for wireless physical layer: opportunities and challenges. China Commun, 14(11):92-111. …

… Our work concerns features in different layers: in the physical … considered as the dominant
physical layer technology for CRs[… present the solution for both problems separately. Also, both …

… learning based physical layer wireless communication techniques: opportunities and
challenges… Dynamic scheduling for over-the-air federated edge learning with energy constraints[J]. …

… toggle this kind of issues mobile edge computing has to be established. This will perform
based … offloading in the edge of the server „A work load allocation to the edge nodes studied in …

… 基于上述考虑,本文提出一种基于联邦学习 (FL, federated learning)的分布式边缘计算模型,…
learning based physical layer wireless communication techniques: opportunities and challenges…

… However, because plenty of complex physical layer algorithms are utilized, network … (CATR),
working on wireless and mobile communication and network technology research and stan…

… Leveraging edge learning and game theory for intrusion … Deep learning based physical
layer wireless communication … Federated learning based intelligent edge computing technique …

… all transmission pairs subjected to constraints on both the total … Now, we will solve the
physical layer power allocation sub-… He is a senior member of the China Computer Federation, a …