High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates.
Fred LuRyan R. CurtinEdward RaffFrancis FerraroJames HoltPublished in: KDD (2024)
Keyphrases
- high dimensional
- fully distributed
- high dimensionality
- communication overhead
- lightweight
- decision trees
- feature space
- distributed environment
- support vector
- feature vectors
- small sample size
- pattern recognition
- dimension reduction
- communication cost
- distributed systems
- classification accuracy
- sparse data
- high dimension
- machine learning
- feature selection
- global knowledge
- computer networks
- scalable distributed
- support vector machine svm
- image classification
- classification algorithm
- spatially distributed
- distributed control
- distributed computation
- support vector machine
- dimensionality reduction
- multi party
- training samples
- microarray data
- kernel function
- variable selection
- communication networks
- dictionary learning
- sparse coding
- data intensive
- text classification
- supervised learning
- nearest neighbor
- cooperative
- multi agent
- class labels
- feature extraction