Cluster-Based Secure Aggregation for Federated Learning

Cluster-Based Secure Aggregation for Federated Learning

In order to protect each node’s local learning parameters from model inversion attacks, secure aggregation has become the essential technique for federated learning so that the federated learning server knows only the combined result of all local parameters. In this paper, we introduced a novel clus...

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Bibliographic Details
Main Authors: Jien Kim, Gunryeong Park, Miseung Kim, Soyoung Park
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Electronics
Subjects:
secure aggregation
federated learning
clustering
pairwise mask
additive sharing
dropout
Online Access:https://www.mdpi.com/2079-9292/12/4/870

Internet

https://www.mdpi.com/2079-9292/12/4/870

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