DGT: A contribution-aware differential gradient transmission mechanism for distributed machine learning.
Huaman ZhouZonghang LiQingqing CaiHongfang YuShouxi LuoLong LuoGang SunPublished in: Future Gener. Comput. Syst. (2021)
Keyphrases
- machine learning
- distributed systems
- reinforcement learning
- cooperative
- machine learning methods
- computational intelligence
- mobile agents
- data mining
- pattern recognition
- decision trees
- artificial intelligence
- multi agent
- information extraction
- text mining
- machine learning approaches
- computer vision
- data transmission
- fault tolerant
- computer networks
- computational model
- learning algorithm
- distributed data
- explanation based learning
- learning tasks
- learning systems
- knowledge acquisition
- peer to peer
- image processing
- natural language processing
- knowledge representation