Privacy-preserving weighted federated learning within the secret sharing framework

• المؤلفون الرئيسيون: Zhu, Huafei, Goh, Rick Siow Mong, Ng, Wee Keong
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Computer science and engineering; Beaver-triple; El Gamal Encryption
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/145818

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...