Practical Low-Rank Communication Compression in Decentralized Deep Learning.
Thijs VogelsSai Praneeth KarimireddyMartin JaggiPublished in: NeurIPS (2020)
Keyphrases
- low rank
- deep learning
- matrix factorization
- missing data
- convex optimization
- low rank matrix
- singular value decomposition
- unsupervised learning
- matrix completion
- linear combination
- rank minimization
- high dimensional data
- semi supervised
- high order
- machine learning
- weakly supervised
- mental models
- data sets
- computer vision
- pattern recognition
- learning algorithm
- image processing
- bayesian networks
- higher order
- object recognition
- data analysis
- learning process
- maximum likelihood