Efficient low-rank federated learning based on singular value decomposition.
Jungmin KwonHyunggon ParkPublished in: MobiHoc (2022)
Keyphrases
- singular value decomposition
- low rank
- singular values
- low rank matrix
- low rank matrices
- least squares
- convex optimization
- matrix factorization
- kernel matrix
- learning algorithm
- high order
- missing data
- active learning
- matrix decomposition
- latent semantic indexing
- linear combination
- dimensionality reduction
- matrix completion
- reconstruction error
- low rank approximation
- minimization problems
- principal component analysis
- high dimensional data
- rank minimization
- nuclear norm
- markov random field
- higher order
- learning tasks