Latency Analysis of Consortium Blockchained Federated Learning
Ren, Pengcheng, Yan, Tongjiang
A decentralized federated learning architecture is proposed to apply to the Businesses-to-Businesses scenarios by introducing the consortium blockchain in this paper. We introduce a model verification mechanism to ensure the quality of local models trained by participators. To analyze the latency of the system, a latency model is constructed by considering the work flow of the architecture. Finally the experiment results show that our latency model does well in quantifying the actual delays.
May-9-2021
- Country:
- Asia > China
- Shandong Province > Qingdao (0.04)
- Hubei Province > Wuhan (0.04)
- Hong Kong (0.04)
- Beijing > Beijing (0.04)
- Asia > China
- Genre:
- Workflow (0.53)
- Research Report > New Finding (0.34)
- Industry:
- Information Technology > Security & Privacy (0.47)
- Technology: