Pair-Then-Aggregate: Simplified and Efficient Parallel Programming Paradigm for Secure Multi-Party Computation

Pair-then-Aggregate (PtA) introduces a programming paradigm and an automated parallel execution engine for large-scale secure multi-party (MPC) computations, drawing inspiration from the widely-used yet not explicitly defined Table-Generation-and-Look-up (TGL) pattern in privacy-preserving algorithm...

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Veröffentlicht in:	Proceedings - IEEE International Parallel and Distributed Processing Symposium S. 629 - 640
Hauptverfasser:	Fan, Xiaoyu, Chen, Kun, Wang, Guosai, Zhu, Xiaowei, He, Haoqing, Yong, Xie, Jia, Xiaofeng, Li, Yidong, Xu, Wei
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 03.06.2025
Schlagworte:	C++ languages Codes Distributed processing Encoding Engines Multi-party computation Parallel processing Parallel programming parallel programming paradigm Scalability secure multi-party computation
ISSN:	1530-2075
Online-Zugang:	Volltext
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