Towards federated learning on time-evolving heterogeneous data

Y Guo, T Lin, X Tang - arXiv preprint arXiv:2112.13246, 2021 - arxiv.org
Federated Learning (FL) is a learning paradigm that protects privacy by keeping client data
on edge devices. However, optimizing FL in practice can be difficult due to the diversity and …
被引用次数：24 相关文章

Towards Federated Learning on Time-Evolving Heterogeneous Data

Y Guo, T Lin, X Tang - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Federated Learning (FL) is a learning paradigm that protects privacy by keeping client data
on edge devices. However, optimizing FL in practice can be difficult due to the diversity and …

Towards Federated Learning on Time-Evolving Heterogeneous Data

Y Guo, T Lin, X Tang - openreview.net
Federated Learning (FL) is an emerging learning paradigm that preserves privacy by
ensuring client data locality on edge devices. The optimization of FL is challenging in …