Entangled Polynomial Codes for Secure, Private, and Batch Distributed Matrix Multiplication: Breaking the "Cubic" Barrier

15 January 2020

Papers citing "Entangled Polynomial Codes for Secure, Private, and Batch Distributed Matrix Multiplication: Breaking the "Cubic" Barrier"

12 / 12 papers shown

Title
Approximated Coded Computing: Towards Fast, Private and Secure Distributed Machine Learning Houming Qiu Kun Zhu Nguyen Cong Luong Dusit Niyato FedML 30 0 0 07 Jun 2024
Sparsity and Privacy in Secret Sharing: A Fundamental Trade-Off Rawad Bitar Maximilian Egger Antonia Wachter-Zeh M. Xhemrishi 39 4 0 11 Aug 2023
Fully Private Grouped Matrix Multiplication with Colluding Workers Lev Tauz L. Dolecek 18 0 0 13 May 2023
Probabilistic Group Testing in Distributed Computing with Attacked Workers Sarthak Jain Martina Cardone S. Mohajer 19 0 0 11 May 2023
Secure Linear MDS Coded Matrix Inversion Neophytos Charalambides Mert Pilanci Alfred Hero 29 5 0 13 Jul 2022
Root of Unity for Secure Distributed Matrix Multiplication: Grid Partition Case R. A. Machado Felice Manganiello 22 9 0 03 Jun 2022
Sparse Random Khatri-Rao Product Codes for Distributed Matrix Multiplication Ruowan Ji A. Heidarzadeh Krishna R. Narayanan 35 7 0 12 May 2022
Analog Secure Distributed Matrix Multiplication over Complex Numbers Okko Makkonen Camilla Hollanti 16 7 0 07 Feb 2022
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges S. Ulukus Salman Avestimehr Michael C. Gastpar S. Jafar Ravi Tandon Chao Tian FedML 43 66 0 30 Jul 2021
Secure Distributed Matrix Computation with Discrete Fourier Transform N. Mital Cong Ling Deniz Gunduz 32 37 0 08 Jul 2020
Rateless Codes for Private Distributed Matrix-Matrix Multiplication Rawad Bitar M. Xhemrishi Antonia Wachter-Zeh 33 6 0 27 Apr 2020
Coded Secure Multi-Party Computation for Massive Matrices with Adversarial Nodes Seyed Reza Hoseini Najarkolaei M. Maddah-ali M. R. Aref 25 8 0 10 Apr 2020