FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization.
Dezhong YaoWanning PanYao WanHai JinLichao SunPublished in: CoRR (2021)
Keyphrases
- low rank
- singular value decomposition
- matrix factorization
- learning process
- group sparsity
- factorization methods
- learning algorithm
- image processing
- semi supervised
- linear combination
- missing data
- convex optimization
- active learning
- structure from motion
- high order
- matrix completion
- low rank matrix
- probabilistic model
- reinforcement learning
- rank minimization
- neural network