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