Distributed Matrix Computations with Low-weight Encodings-Reference-Cited by-同舟云学术

Distributed Matrix Computations with Low-weight Encodings

Author:

Das Anindya Bijoy¹,Ramamoorthy Aditya²,Love David J.¹,Brinton Christopher G.¹

Affiliation:

1. Purdue University,School of Electrical and Computer Engineering,West Lafayette,IN,USA,47907

2. Iowa State University,Department of Electrical and Computer Engineering,Ames,IA,USA,50010

Funder

National Science Foundation

Office of Naval Research

Advanced Research Projects Agency

Publisher

IEEE

Link

Reference18 articles.

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sparsity and Privacy in Secret Sharing: A Fundamental Trade-Off;IEEE Transactions on Information Forensics and Security;2024

2. Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations;2023 59th Annual Allerton Conference on Communication, Control, and Computing (Allerton);2023-09-26

3. Distributed Matrix Computations with Low-weight Encodings;2023 IEEE International Symposium on Information Theory (ISIT);2023-06-25

4. Distributed Matrix Computations With Low-Weight Encodings;IEEE Journal on Selected Areas in Information Theory;2023