Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning

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 data is collected from end-users or IoT devices, so that it can discover insights behind real-world data, may not be fea...

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Bibliographische Detailangaben

Hauptverfasser:	Kanagavelu, Renuga, Li, Zengxiang, Samsudin, Juniarto, Yang, Yechao, Yang, Feng, Goh, Rick Siow Mong, Cheah, Mervyn, Wiwatphonthana, Praewpiraya, Akkarajitsakul, Khajonpong, Wangz, Shangguang
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Distributed, Parallel, and Cluster Computing
Online-Zugang:	Volltext bestellen
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