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Abstract
The Gram matrix of a matrix A is defined as AAT (or ATA). Computing the Gram matrix is an important operation in many applications, such as linear regression with the least squares method, where the explicit solution formula includes the Gram matrix of the data matrix. Secure distributed matrix multiplication (SDMM) can be used to compute the product of two matrices using the help of worker servers. If a Gram matrix were computed using SDMM, the data matrix would need to be encoded twice, which causes an unnecessary overhead in the communication cost. We propose a new scheme for this purpose called secure distributed Gram matrix multiplication (SDGMM). It can leverage the advantages of computing a Gram matrix instead of a regular matrix product.
Original language  English 

Title of host publication  2023 IEEE Information Theory Workshop, ITW 2023 
Publisher  IEEE 
Pages  192197 
Number of pages  6 
ISBN (Electronic)  9798350301496 
DOIs  
Publication status  Published  2023 
MoE publication type  A4 Conference publication 
Event  IEEE Information Theory Workshop  SaintMalo, France Duration: 23 Apr 2023 → 28 Apr 2023 
Publication series
Name  Proceedings : information theory workshop 

ISSN (Electronic)  24754218 
Conference
Conference  IEEE Information Theory Workshop 

Abbreviated title  ITW 
Country/Territory  France 
City  SaintMalo 
Period  23/04/2023 → 28/04/2023 
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 1 Finished

Hollanti_ICT: Secure Distributed Computation Schemes with Applications to Digitalized Remote Healthcare
Hollanti, C., Villamizar Rubiano, D., Hietaaho, E., Sacikara Kariksiz, E., Yatsyna, P., Kas Hanna, S., Makkonen, O., Matalaaho, T., Karpuk, D., Bolanos Chavez, W. & Allaix, M.
01/01/2021 → 31/12/2023
Project: Academy of Finland: Other research funding