Heterogeneous federated learning using dynamic model pruning and adaptive gradient

S Yu, P Nguyen, A Anwar… - 2023 IEEE/ACM 23rd …, 2023 - ieeexplore.ieee.org
Federated Learning (FL) has emerged as a new paradigm for training machine learning
models distributively without sacrificing data security and privacy. Learning models on edge …
被引用次数：13 相关文章

Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient

S Yu, P Nguyen, A Anwar, A Jannesari - arXiv preprint arXiv:2106.06921, 2021 - arxiv.org
Federated Learning (FL) has emerged as a new paradigm for training machine learning
models distributively without sacrificing data security and privacy. Learning models on edge …
[PDF] researchgate.net

[PDF][PDF] Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient

S Yu, P Nguyen, A Anwar, A Jannesari - researchgate.net
Federated Learning (FL) has emerged as a new paradigm for training machine learning
models distributively without sacrificing data security and privacy. Learning models on edge …

Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient

S Yu, P Nguyen, A Anwar, A Jannesari - 2023 IEEE/ACM 23rd …, 2023 - computer.org
Federated Learning (FL) has emerged as a new paradigm for training machine learning
models distributively without sacrificing data security and privacy. Learning models on edge …

Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient

S Yu, P Nguyen, A Anwar, A Jannesari - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Federated Learning (FL) has emerged as a new paradigm for training machine learning
models distributively without sacrificing data security and privacy. Learning models on edge …
[PDF] iastate.edu

[PDF][PDF] Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient

S Yu, P Nguyen, A Anwar, A Jannesari - cs.iastate.edu
Federated Learning (FL) has emerged as a new paradigm for training machine learning
models distributively without sacrificing data security and privacy. Learning models on edge …

Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient

S Yu, P Nguyen, A Anwar… - 23rd IEEE/ACM …, 2023 - experts.umn.edu
Federated Learning (FL) has emerged as a new paradigm for training machine learning
models distributively without sacrificing data security and privacy. Learning models on edge …