Device scheduling and update aggregation policies for asynchronous federated learning

CH Hu, Z Chen, EG Larsson - 2021 IEEE 22nd International …, 2021 - ieeexplore.ieee.org
Federated Learning (FL) is a newly emerged decentralized machine learning (ML)
framework that combines on-device local training with server-based model synchronization …
被引用次数：26 相关文章

Device Scheduling and Update Aggregation Policies for Asynchronous Federated Learning

CH Hu, Z Chen, EG Larsson - arXiv preprint arXiv:2107.11415, 2021 - arxiv.org
Federated Learning (FL) is a newly emerged decentralized machine learning (ML)
framework that combines on-device local training with server-based model synchronization …

Device Scheduling and Update Aggregation Policies for Asynchronous Federated Learning

CH Hu, Z Chen, EG Larsson - 2021 IEEE 22nd International …, 2020 - diva-portal.org
Federated Learning (FL) is a newly emerged decentralized machine learning (ML)
framework that combines on-device local training with server-based model synchronization …

Device Scheduling and Update Aggregation Policies for Asynchronous Federated Learning

CH Hu, Z Chen, EG Larsson - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Federated Learning (FL) is a newly emerged decentralized machine learning (ML)
framework that combines on-device local training with server-based model synchronization …