Information-theoretic privacy in federated submodel learning

Information-theoretic privacy in federated submodel learning

We consider information-theoretic privacy in federated submodel learning, where a global server has multiple submodels. Compared to the privacy considered in the conventional federated submodel learning where secure aggregation is adopted for ensuring privacy, information-theoretic privacy provides...

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Bibliographic Details
Main Authors:	Minchul Kim, Jungwoo Lee
Format:	Article
Language:	English
Published:	Elsevier 2023-06-01
Series:	ICT Express
Subjects:	Federated learning Federated submodel learning Private information retrieval
Online Access:	http://www.sciencedirect.com/science/article/pii/S2405959522000297

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