Improving Efficiency in Large-Scale Decentralized Distributed Training.
Wei ZhangXiaodong CuiAbdullah KayiMingrui LiuUlrich FinklerBrian KingsburyGeorge SaonYoussef MrouehAlper BuyuktosunogluPayel DasDavid S. KungMichael PichenyPublished in: ICASSP (2020)
Keyphrases
- distributed systems
- high scalability
- peer to peer
- cooperative
- multi agent
- small scale
- structured peer to peer
- distributed agents
- test set
- data sets
- distributed constraint optimization
- data intensive
- fault tolerant
- training samples
- supervised learning
- networked environment
- real life
- computational complexity
- training set
- peer to peer networks
- real time
- decision making
- training data
- distributed network
- open systems
- distributed data
- training phase
- training process
- multiagent systems
- mobile agents