Universally Decodable Matrices for Distributed Matrix-Vector Multiplication.
Aditya RamamoorthyLi TangPascal O. VontobelPublished in: ISIT (2019)
Keyphrases
- sparse matrix
- matrix multiplication
- eigenvalues and eigenvectors
- matrix representation
- rows and columns
- symmetric matrices
- singular value decomposition
- linear algebra
- distributed systems
- coefficient matrix
- singular values
- perturbation theory
- floating point
- data matrix
- positive definite
- positive semidefinite
- distributed environment
- linear complementarity problem
- multi agent
- square matrices
- projection matrices
- block diagonal
- low rank
- fault tolerant
- covariance matrix
- correlation matrix
- covariance matrices
- pseudo inverse
- systems of linear equations
- pairwise
- error correcting
- feature vectors
- peer to peer
- symmetric matrix
- measurement matrix
- low rank matrix
- error correction
- data transmission
- distributed memory