Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees.
Steffen SchotthöferM. Paul LaiuPublished in: CoRR (2024)
Keyphrases
- low rank
- matrix factorization
- linear combination
- convex optimization
- matrix completion
- singular value decomposition
- missing data
- low rank matrix
- rank minimization
- semi supervised
- trace norm
- kernel matrix
- high dimensional data
- high order
- low rank matrices
- matrix decomposition
- stochastic gradient descent
- robust principal component analysis
- training set
- singular values
- training samples
- minimization problems
- non rigid structure from motion
- training data
- neural network
- convergence rate
- principal component analysis
- least squares
- small number
- high dimensional