English

Latency Analysis of Consortium Blockchained Federated Learning

Machine Learning 2021-05-11 v1 Distributed, Parallel, and Cluster Computing Machine 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.

Cite

@article{arxiv.2105.04087,
  title  = {Latency Analysis of Consortium Blockchained Federated Learning},
  author = {Pengcheng Ren and Tongjiang Yan},
  journal= {arXiv preprint arXiv:2105.04087},
  year   = {2021}
}
R2 v1 2026-06-24T01:55:40.782Z