Fluid: Mitigating stragglers in federated learning using invariant dropout

I Wang, P Nair, D Mahajan - Advances in Neural …, 2024 - proceedings.neurips.cc
Federated Learning (FL) allows machine learning models to train locally on individual
mobile devices, synchronizing model updates via a shared server. This approach …
被引用次数：5 相关文章

FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout

I Wang, PJ Nair, D Mahajan - arXiv preprint arXiv:2307.02623, 2023 - arxiv.org
Federated Learning (FL) allows machine learning models to train locally on individual
mobile devices, synchronizing model updates via a shared server. This approach …

FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout

I Wang, PJ Nair, D Mahajan - Thirty-seventh Conference on Neural … - openreview.net
Federated Learning (FL) allows machine learning models to train locally on individual
mobile devices, synchronizing model updates via a shared server. This approach …

FLuID: mitigating stragglers in federated learning using invariant dropout

I Wang, PJ Nair, D Mahajan - … of the 37th International Conference on …, 2023 - dl.acm.org
Federated Learning (FL) allows machine learning models to train locally on individual
mobile devices, synchronizing model updates via a shared server. This approach …

FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout

I Wang, PJ Nair, D Mahajan - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Federated Learning (FL) allows machine learning models to train locally on individual
mobile devices, synchronizing model updates via a shared server. This approach …