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About Federated Learning Article
This document provides a survey of federated learning (FL), including enabling technologies, protocols, and applications. FL allows machine learning models to be trained across decentralized data sources without exchanging the actual data. The document discusses how FL works, potential use cases in industries like healthcare, and challenges around handling diverse and sensitive decentralized data while enabling privacy-preserving machine learning.
Detailed Information
| Author: | ['sunk86'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 68 |
| Language: | English |
| Format: | |
| Price: | FREE |
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