A survey on federated learning

作者：

Highlights：

• Review the development of federated learning.

• Introduce the existing work of federated learning from five aspects.

• Sort out the current challenges and future research directions of federated learning.

• Summarize the characteristics and the current practical application of federated learning.

摘要

•Review the development of federated learning.•Introduce the existing work of federated learning from five aspects.•Sort out the current challenges and future research directions of federated learning.•Summarize the characteristics and the current practical application of federated learning.

论文关键词：Federated learning,Privacy protection,Machine learning

论文评审过程：Received 3 September 2020, Revised 12 December 2020, Accepted 11 January 2021, Available online 21 January 2021, Version of Record 5 February 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.106775