Efficient dropout-resilient aggregation for privacy-preserving machine learning

• المؤلفون الرئيسيون: Liu, Ziyao, Guo, Jiale, Lam, Kwok-Yan, Zhao, Jun
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Computer science and engineering; Secure Aggregation; Privacy-Preserving Machine Learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/162985
• المؤسسة: 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....