JOURNAL ARTICLE

Federated Learning: The Pioneering Distributed Machine Learning and Privacy-Preserving Data Technology

Philip TreleavenMalgorzata SmietankaHirsh Pithadia

Year: 2022 Journal:   Computer Vol: 55 (4)Pages: 20-29   Publisher: IEEE Computer Society

Abstract

Federated learning (pioneered by Google) is a new class of machine learning models trained on distributed data sets, and equally important, a key privacy-preserving data technology. The contribution of this article is to place it in perspective to other data science technologies.

Keywords:
Computer science Key (lock) Perspective (graphical) Federated learning Information privacy Class (philosophy) Distributed learning Data science Big data Artificial intelligence Computer security Data mining

Metrics

33
Cited By
6.27
FWCI (Field Weighted Citation Impact)
5
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Privacy-Preserving Technologies in Data
Physical Sciences →  Computer Science →  Artificial Intelligence
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Physical Sciences →  Computer Science →  Artificial Intelligence
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