Federated learning review: Fundamentals, enabling technologies, and future applications

作者：

Highlights：

• Draw the big picture of the fundamental of federated machine learning.

• Presenting the most prominent federated learning applications and shows other potential use cases.

• Provide a range of future applications and directions for the research in the federated machine learning.

摘要

•Draw the big picture of the fundamental of federated machine learning.•Presenting the most prominent federated learning applications and shows other potential use cases.•Provide a range of future applications and directions for the research in the federated machine learning.

论文关键词：Federated learning,Decentralized learning,Distributed learning,Machine learning,Mobile edge networks,Data privacy,Data security

论文评审过程：Received 11 February 2022, Revised 19 June 2022, Accepted 9 August 2022, Available online 26 August 2022, Version of Record 26 August 2022.

论文官网地址：https://doi.org/10.1016/j.ipm.2022.103061