Privacy-preserving weighted federated learning within the secret sharing framework

• Main Authors: Zhu, Huafei, Goh, Rick Siow Mong, Ng, Wee Keong
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering; Beaver-triple; El Gamal Encryption
• Online Access: https://hdl.handle.net/10356/145818
• Institution: Nanyang Technological University

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...