Feb 23, 2023 · In this paper, we propose an energy-efficient learning framework, named Snowball, that enables edge devices to incrementally upload their model ...
In this paper, we propose an energy-efficient learning framework, named. Snowball, that enables edge devices to incrementally upload their model updates in a ...
Mar 11, 2024 · In this paper, we propose an energy-efficient learning framework, named Snowball, that enables edge devices to incrementally upload their model ...
Snowball: Energy Efficient and Accurate Federated Learning With Coarse-to-Fine Compression Over Heterogeneous Wireless Edge Devices · Peichun LiGuoliang Cheng
Feb 23, 2024 · Snowball: Energy Efficient and Accurate Federated Learning With Coarse-to-Fine Compression Over Heterogeneous Wireless Edge Devices. IEEE ...
Snowball: Energy Efficient and Accurate Federated Learning With Coarse-to-Fine Compression Over Heterogeneous Wireless Edge Devices · Author Picture Peichun ...
In this work, we investigate the challenging problem of on-demand federated learning (FL) over heterogeneous edge devices with diverse resource constraints. We ...
May 13, 2024 · Snowball: Energy Efficient and Accurate Federated Learning With Coarse-to-Fine Compression Over Heterogeneous Wireless Edge Devices. IEEE ...
Snowball: Energy efficient and accurate federated learning with coarse-to-fine compression over heterogeneous wireless edge devices. P Li, G Cheng, X Huang ...
Snowball: Energy Efficient and Accurate Federated Learning With Coarse-to-Fine Compression Over Heterogeneous Wireless Edge Devices · Peichun LiGuoliang Cheng