Approaches to address the data skew problem in federated learning

Volume: 11006, Pages: 542 - 557
Published: May 10, 2019
Abstract
A Federated Learning approach consists of creating an AI model from multiple data sources, without moving large amounts of data across to a central environment. Federated learning can be very useful in a tactical coalition environment, where data can be collected individually by each of the coalition partners, but network connectivity is inadequate to move the data to a central environment. However, such data collected is often dirty and...
Paper Details
Title
Approaches to address the data skew problem in federated learning
Published Date
May 10, 2019
Journal
Volume
11006
Pages
542 - 557
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