[HTML][HTML] Resilient and communication efficient learning for heterogeneous federated systems
Abstract The rise of Federated Learning (FL) is bringing machine learning to edge
computing by utilizing data scattered across edge devices. However, the heterogeneity of …
computing by utilizing data scattered across edge devices. However, the heterogeneity of …
Resilient and Communication Efficient Learning for Heterogeneous Federated Systems
Z Zhu, J Hong, S Drew, J Zhou - … of machine learning …, 2022 - pubmed.ncbi.nlm.nih.gov
The rise of Federated Learning (FL) is bringing machine learning to edge computing by
utilizing data scattered across edge devices. However, the heterogeneity of edge network …
utilizing data scattered across edge devices. However, the heterogeneity of edge network …
[PDF][PDF] Resilient and Communication Efficient Learning for Heterogeneous Federated Systems
Z Zhu, J Hong, S Drew, J Zhou - Proceedings of Thirty-ninth International …, 2022 - par.nsf.gov
Abstract The rise of Federated Learning (FL) is bringing machine learning to edge
computing by utilizing data scattered across edge devices. However, the heterogeneity of …
computing by utilizing data scattered across edge devices. However, the heterogeneity of …
[PDF][PDF] Resilient and Communication Efficient Learning for Heterogeneous Federated Systems
Z Zhu, J Hong, S Drew, J Zhou - scholar.archive.org
Abstract The rise of Federated Learning (FL) is bringing machine learning to edge
computing by utilizing data scattered across edge devices. However, the heterogeneity of …
computing by utilizing data scattered across edge devices. However, the heterogeneity of …
Resilient and Communication Efficient Learning for Heterogeneous Federated Systems
Z Zhu, J Hong, S Drew, J Zhou - Proceedings of Machine Learning …, 2022 - europepmc.org
Abstract The rise of Federated Learning (FL) is bringing machine learning to edge
computing by utilizing data scattered across edge devices. However, the heterogeneity of …
computing by utilizing data scattered across edge devices. However, the heterogeneity of …
[PDF][PDF] Resilient and Communication Efficient Learning for Heterogeneous Federated Systems
Z Zhu, J Hong, S Drew, J Zhou - Proc Mach Learn Res. Author …, 2023 - researchgate.net
Abstract The rise of Federated Learning (FL) is bringing machine learning to edge
computing by utilizing data scattered across edge devices. However, the heterogeneity of …
computing by utilizing data scattered across edge devices. However, the heterogeneity of …
Resilient and Communication Efficient Learning for Heterogeneous Federated Systems
Z Zhu, J Hong, S Drew, J Zhou - International Conference on …, 2022 - proceedings.mlr.press
Abstract The rise of Federated Learning (FL) is bringing machine learning to edge
computing by utilizing data scattered across edge devices. However, the heterogeneity of …
computing by utilizing data scattered across edge devices. However, the heterogeneity of …
Resilient and Communication Efficient Learning for Heterogeneous Federated Systems.
Z Zhu, J Hong, S Drew, J Zhou - Proceedings of Machine Learning …, 2022 - europepmc.org
The rise of Federated Learning (FL) is bringing machine learning to edge computing by
utilizing data scattered across edge devices. However, the heterogeneity of edge network …
utilizing data scattered across edge devices. However, the heterogeneity of edge network …