GRACE: A Compressed Communication Framework for Distributed Machine Learning.
Hang XuChen-Yu HoAhmed M. AbdelmoniemAritra DuttaEl Houcine BergouKonstantinos KaratsenidisMarco CaniniPanos KalnisPublished in: ICDCS (2021)
Keyphrases
- machine learning
- main contribution
- lightweight
- data sets
- distributed learning
- communication cost
- probabilistic model
- distributed systems
- communication overhead
- computer networks
- spatially distributed
- communication networks
- knowledge representation
- learning algorithm
- data mining
- text mining
- natural language processing
- text classification
- information extraction
- natural language
- fault tolerant
- inductive logic programming
- multi agent
- decision trees
- computer vision
- distributed architecture