CoCoNet: Co-Optimizing Computation and Communication for Distributed Machine Learning.
Abhinav JangdaJun HuangGuodong LiuAmir Hossein Nodehi SabetSaeed MalekiYoushan MiaoMadanlal MusuvathiTodd MytkowiczOlli SaarikiviPublished in: CoRR (2021)
Keyphrases
- machine learning
- communication overhead
- computer networks
- communication cost
- fully distributed
- pattern recognition
- distributed systems
- distributed control
- distributed network
- distributed computation
- global knowledge
- multi party
- communication networks
- mobile agents
- machine learning methods
- distributed environment
- fault tolerant
- information dissemination
- spatially distributed
- cooperative
- knowledge acquisition
- machine learning algorithms
- partitioned data
- single point of failure
- learning algorithm
- artificial intelligence
- decision trees
- communication systems
- natural language processing
- computational intelligence
- lightweight
- data mining
- text classification
- peer to peer
- inductive learning
- communication channels
- communication technologies
- support vector machine
- knowledge discovery
- machine learning approaches
- open systems
- computer science
- group communication
- learning tasks
- computer vision
- model selection
- privacy preserving
- learning systems