Channel-Driven Monte Carlo Sampling for Bayesian Distributed Learning in Wireless Data Centers.
Dongzhu LiuOsvaldo SimeonePublished in: IEEE J. Sel. Areas Commun. (2022)
Keyphrases
- monte carlo sampling
- distributed learning
- data center
- cloud computing
- internet services
- cost effective
- wireless networks
- high density
- energy consumption
- wireless communication
- energy efficiency
- collaborative learning
- data placement
- power consumption
- knowledge integration
- virtual machine
- mobile devices
- multi tenant
- carbon dioxide
- mobile users
- point correspondences
- sensor networks
- wireless sensor networks
- computational complexity
- machine learning