Sampling-based Distributed Training with Message Passing Neural Network.
Priyesh KakkaSheel NidhanRishikesh RanadeJonathan F. MacArtPublished in: CoRR (2024)
Keyphrases
- message passing
- distributed systems
- neural network
- belief propagation
- training process
- shared memory
- factor graphs
- probabilistic inference
- inference in graphical models
- artificial neural networks
- distributed shared memory
- approximate inference
- back propagation
- ldpc codes
- neural network model
- markov random field
- monte carlo
- graphical models
- junction tree
- training set
- matrix multiplication
- preprocessing
- bayesian networks
- image processing