A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection

As data privacy increasingly becomes a critical societal concern, federated learning has been a hot research topic in enabling the collaborative training of machine learning models among different organizations under the privacy restrictions. As researchers try to support more machine learning model...

Full description

Bibliographic Details

Published in:	IEEE transactions on knowledge and data engineering Vol. 35; no. 4; pp. 3347 - 3366
Main Authors:	Li, Qinbin, Wen, Zeyi, Wu, Zhaomin, Hu, Sixu, Wang, Naibo, Li, Yuan, Liu, Xu, He, Bingsheng
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.04.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Case studies Classification Collaborative work Computational modeling data mining Data models Data privacy Deep learning Design factors Federated learning Machine learning Privacy Servers survey
ISSN:	1041-4347, 1558-2191
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!