Federated edge learning with reconfigurable intelligent surface and its application in Internet of vehicles
Aiming at the problem that it is difficult to achieve an optimal trade-off between wireless communication and model accuracy in FEEL training caused by the heterogeneity of wireless links and data distribution, a reconfigurable intelligent surface (RIS) enabled federated edge learning system was pro...
Saved in:
Main Authors: | Ping WANG, Zhiwei YANG, Heju LI |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Journal on Communications
2023-10-01
|
Series: | Tongxin xuebao |
Subjects: | |
Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023192/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Client grouping and time-sharing scheduling for asynchronous federated learning in heterogeneous edge computing environment
by: Qianpiao MA, et al.
Published: (2023-11-01) -
Survey on data heterogeneity problems and personalization based solutions of federated learning in Internet of vehicles
by: LIU Miao, et al.
Published: (2024-10-01) -
Edge intelligence empowered internet of vehicles: concept, framework, issues, implementation, and prospect
by: Kai JIANG, et al.
Published: (2023-03-01) -
Reconfigurable intelligent surface assist wireless channel estimation algorithm in Internet of vehicles environment
by: Rong ZENG, et al.
Published: (2022-08-01) -
Mobility Management and Resource Management of Internet of Vehicles in Converged Heterogeneous Network Scenario
by: Qiong Yang, et al.
Published: (2015-09-01)