Dynamic aggregation for heterogeneous quantization in federated learning

S Chen, C Shen, L Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Communication is widely known as the primary bottleneck of federated learning, and
quantization of local model updates before uploading to the parameter server is an effective …

[引用][C] Dynamic Aggregation for Heterogeneous Quantization in Federated Learning

S Chen, C Shen, L Zhang, Y Tang - IEEE Transactions on Wireless …, 2021 - cir.nii.ac.jp
Dynamic Aggregation for Heterogeneous Quantization in Federated Learning | CiNii Research
CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文 …