Latency Analysis of Consortium Blockchained Federated Learning
Abstract
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.
- Publication:
-
arXiv e-prints
- Pub Date:
- May 2021
- DOI:
- 10.48550/arXiv.2105.04087
- arXiv:
- arXiv:2105.04087
- Bibcode:
- 2021arXiv210504087R
- Keywords:
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- Statistics - Machine Learning;
- Computer Science - Distributed;
- Parallel;
- and Cluster Computing;
- Computer Science - Machine Learning