papers
Publications (2)
cs.CR2020
Privacy-preserving Weighted Federated Learning within Oracle-Aided MPC Framework
Huafei Zhu, Zengxiang Li, Mervyn Cheah +1
This paper studies privacy-preserving weighted federated learning within the oracle-aided multi-party computation (MPC) framework. The contribution of this paper mainly comprises t…
cs.DC2020
Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning
Renuga Kanagavelu, Zengxiang Li, Juniarto Samsudin +7
Countries across the globe have been pushing strict regulations on the protection of personal or private data collected. The traditional centralized machine learning method, where…