Review paper

A Systematic Literature Review on Federated Machine Learning

Volume: 54, Issue: 5, Pages: 1 - 39
Published: May 25, 2021
Abstract
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...
Paper Details
Title
A Systematic Literature Review on Federated Machine Learning
Published Date
May 25, 2021
Volume
54
Issue
5
Pages
1 - 39
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