Scaling Distributed Machine Learning with In-Network Aggregation.
Amedeo SapioMarco CaniniChen-Yu HoJacob NelsonPanos KalnisChanghoon KimArvind KrishnamurthyMasoud MoshrefDan R. K. PortsPeter RichtárikPublished in: NSDI (2021)
Keyphrases
- machine learning
- distributed network
- peer to peer
- computer networks
- communication overhead
- communication cost
- network nodes
- network model
- machine learning methods
- learning tasks
- remote sites
- distributed systems
- cooperative
- machine learning algorithms
- complex networks
- learning algorithm
- active learning
- data transfer
- fully distributed
- load balance
- network topologies
- camera network
- peer to peer networks
- feature selection
- natural language processing
- computer science
- communication networks
- network traffic
- mobile sensor
- text classification
- concurrent processes
- artificial intelligence
- explanation based learning
- single point of failure
- heterogeneous networks
- network architecture
- artificial neural networks
- neural network
- wireless sensor networks
- lightweight
- supervised learning