Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues

Federated learning (FL) is a distributed machine learning approach that can achieve the purpose of collaborative learning from a large amount of data that belong to different parties without sharing the raw data among the data owners. FL can sufficiently utilize the computing capabilities of multipl...

Full description

Bibliographic Details
Main Authors: Zhaoyang Du, Celimuge Wu, Tsutomu Yoshinaga, Kok-Lim Alvin Yau, Yusheng Ji, Jie Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Open Journal of the Computer Society
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9086790/