Evaluation of Communication Overhead for Distributed Deep Learning for Local Data Privacy.
Yuma OkudaAkihito NishikawaHiroaki NishiPublished in: IECON (2023)
Keyphrases
- communication overhead
- deep learning
- data privacy
- communication cost
- distributed data
- privacy preserving
- unsupervised learning
- data sharing
- sensitive information
- cloud computing
- privacy preserving data mining
- machine learning
- data quality
- privacy concerns
- real world
- model selection
- weakly supervised
- text classification
- object recognition
- data streams
- data mining