M2C: Energy efficient mobile cloud system for deep learning.
Kai SunZhikui ChenJiankang RenSong YangJing LiPublished in: INFOCOM Workshops (2014)
Keyphrases
- energy efficient
- deep learning
- wireless sensor networks
- energy consumption
- sensor networks
- base station
- unsupervised learning
- data dissemination
- machine learning
- unsupervised feature learning
- mobile users
- mobile devices
- mobile phone
- mobile environments
- weakly supervised
- energy efficiency
- mobile communication
- data broadcast
- mobile applications
- context aware
- sensor nodes
- mental models
- mobile objects
- routing algorithm
- computing environments
- power consumption
- routing protocol
- topic models
- computer vision
- information retrieval