Corpus ID: 211076268

On the Communication Latency of Wireless Decentralized Learning

@article{Naderializadeh2020OnTC,
  title={On the Communication Latency of Wireless Decentralized Learning},
  author={Navid Naderializadeh},
  journal={ArXiv},
  year={2020},
  volume={abs/2002.04069}
}
  • Navid Naderializadeh
  • Published in ArXiv 2020
  • Computer Science, Mathematics
  • We consider a wireless network comprising $n$ nodes located within a circular area of radius $R$, which are participating in a decentralized learning algorithm to optimize a global objective function using their local datasets. To enable gradient exchanges across the network, we assume each node communicates only with a set of neighboring nodes, which are within a distance $R n^{-\beta}$ of itself, where $\beta\in(0,\frac{1}{2})$. We use tools from network information theory and random… CONTINUE READING

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    Figures and Topics from this paper.

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 27 REFERENCES

    Scheduling Policies for Federated Learning in Wireless Networks

    Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data

    Efficient Decentralized Deep Learning by Dynamic Model Averaging

    VIEW 1 EXCERPT