机器学习隐私保护研究综述隐私保护研究综述 Page 1 软件学报ISSN 1000-9825,CODEN
RUXUEW Journal of Software,[doi: 10.13328/j.cnki.jos.00 ©中国科学院软件研究所版权所有 …

Secure Multi-Party Computation (MPC) allows mutually distrusting parties to run joint
computations without revealing private data. Current MPC algorithms scale poorly with data …

机器学习隐私保护研究综述 隐私保护研究综述 Page 1 软件学报 ISSN 1000-9825,CODEN
RUXUEW Journal of Software,[doi: 10.13328/j.cnki.jos.00 ©中国科学院软件研究所版权所有 …

We consider the fundamental problem of designing classical consensus-related distributed
abstractions for large-scale networks, where the number of parties can be huge. Specifically …

Byzantine agreement (BA), the task of n parties to agree on one of their input bits in the face
of malicious agents, is a powerful primitive that lies at the core of a vast range of distributed …

Designing efficient distributed protocols for various agreement tasks such as Byzantine
Agreement, Broadcast, and Committee Election is a fundamental problem. We are interested …

With the continuous improvement of computation and communication capabilities, the
Internet of Things (IoT) plays a vital role in many intelligent applications. Therefore, IoT …

Today, financial institutions (FIs) store and share consumers' financial data for various
reasons such as offering loans, processing payments, and protecting against fraud and …

Secure multiparty computation (MPC) on incomplete communication networks has been
studied within two primary models:(1) where a partial network is fixed a priori, and thus …

In the last decade internet of things (IoT) technology becomes useful in almost every
application fields. IoT-cloud-based architecture is insufficient to handle the requirement of …