Secure Distributed Matrix Multiplication Under Arbitrary Collusion Pattern
Author:
Affiliation:
1. School of Information Science and Engineering, Southeast University, Nanjing, China
2. National Mobile Communications Research Laboratory, Southeast University, Nanjing, China
Funder
National Natural Science Foundation of China
Research Fund of National Mobile Communications Research Laboratory, Southeast University
National Key Research and Development Program of China
Key Research and Development Plan of Jiangsu Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Safety, Risk, Reliability and Quality
Link
http://xplorestaging.ieee.org/ielx7/10206/9970396/09930803.pdf?arnumber=9930803
Reference44 articles.
1. The Capacity of Private Information Retrieval Under Arbitrary Collusion Patterns
2. Private information retrieval from MDS coded databases with colluding servers under several variant models;zhang;arXiv 1705 03186,2017
3. Entangled Polynomial Coding in Limited-Sharing Multi-Party Computation
4. Limited-Sharing Multi-Party Computation for Massive Matrix Operations
5. Lagrange coded computing: Optimal design for resiliency, security and privacy;yu;arXiv 1806 00939,2018
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1. Minimizing Computation and Communication Costs of Two-Sided Secure Distributed Matrix Multiplication under Arbitrary Collusion Pattern;Entropy;2024-05-08
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