Privacy-preserving weighted federated learning within the secret sharing framework

Privacy-preserving weighted federated learning within the secret sharing framework

This paper studies privacy-preserving weighted federated learning within the secret sharing framework, where individual private data is split into random shares which are distributed among a set of pre-defined computing servers. The contribution of this paper mainly comprises the following four-fold...

Ful tanımlama

Detaylı Bibliyografya
Asıl Yazarlar: Zhu, Huafei, Goh, Rick Siow Mong, Ng, Wee Keong
Diğer Yazarlar: School of Computer Science and Engineering
Materyal Türü: Journal Article
Dil:English
Baskı/Yayın Bilgisi: 2021
Konular:
Engineering::Computer science and engineering
Beaver-triple
El Gamal Encryption
Online Erişim:https://hdl.handle.net/10356/145818

Internet

https://hdl.handle.net/10356/145818

Benzer Materyaller