Efficient dropout-resilient aggregation for privacy-preserving machine learning

• Main Authors: Liu, Ziyao, Guo, Jiale, Lam, Kwok-Yan, Zhao, Jun
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Secure Aggregation; Privacy-Preserving Machine Learning
• Online Access: https://hdl.handle.net/10356/162985
• Institution: Nanyang Technological University

Machine learning (ML) has been widely recognized as an enabler of the global trend of digital transformation. With the increasing adoption of data-hungry machine learning algorithms, personal data privacy has emerged as one of the key concerns that could hinder the success of digital transformation....