论文标题
有关联合机器学习的系统文献综述：从软件工程的角度来看
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective
论文作者
论文摘要
Federated Learning是一种新兴的机器学习范式，客户在本地培训模型并根据本地模型更新制定全球模型。为了确定联邦学习中的最新技术并探索如何开发联合学习系统，我们根据231个主要研究从软件工程的角度进行系统文献综述。我们的数据综合涵盖了联合学习系统开发的生命周期，其中包括背景理解，需求分析，建筑设计，实施和评估。我们从结果中强调并总结了结果，并确定未来的趋势，以鼓励研究人员推进他们当前的工作。
Federated learning is an emerging machine learning paradigm where clients train models locally and formulate a global model based on the local model updates. To identify the state-of-the-art in federated learning and explore how to develop federated learning systems, we perform a systematic literature review from a software engineering perspective, based on 231 primary studies. Our data synthesis covers the lifecycle of federated learning system development that includes background understanding, requirement analysis, architecture design, implementation, and evaluation. We highlight and summarise the findings from the results, and identify future trends to encourage researchers to advance their current work.
