Sparse and Private Distributed Matrix Multiplication with Straggler Tolerance
Author:
Affiliation:
1. Technical University of Munich,Institute for Communications Engineering,Munich,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10206429/10206441/10206979.pdf?arnumber=10206979
Reference25 articles.
1. Robust Face Recognition via Sparse Representation
2. Secure distributed gram matrix multiplication;makkonen,2022
3. Adaptive sparse matrix representation for efficient matrix–vector multiplication
4. Sparse representation for face recognition: A review paper
5. Private and Secure Distributed Matrix Multiplication With Flexible Communication Load
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1. Sparsity and Privacy in Secret Sharing: A Fundamental Trade-Off;IEEE Transactions on Information Forensics and Security;2024
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