Scaling Distributed Machine Learning with In-Network Aggregation.
Amedeo SapioMarco CaniniChen-Yu HoJacob NelsonPanos KalnisChanghoon KimArvind KrishnamurthyMasoud MoshrefDan R. K. PortsPeter RichtárikPublished in: CoRR (2019)
Keyphrases
- machine learning
- peer to peer
- distributed network
- computer networks
- communication overhead
- communication cost
- network nodes
- distributed systems
- data mining
- network topologies
- mobile sensor
- machine learning methods
- text mining
- learning algorithm
- pattern recognition
- decision trees
- natural language processing
- machine learning algorithms
- cooperative
- inductive logic programming
- camera network
- peer to peer networks
- neural network
- central server
- fully distributed
- artificial intelligence
- computer vision
- reinforcement learning
- community structure
- mobile agents
- lightweight
- text classification
- active learning
- information extraction
- computational intelligence