A survey of incentive mechanism design for federated learning

Y Zhan, J Zhang, Z Hong, L Wu, P Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Federated learning is promising in enabling large-scale machine learning by massive
clients without exposing their raw data. It can not only enable the clients to preserve the …
被引用次数：261 相关文章

A Survey of Incentive Mechanism Design for Federated Learning

Y Zhan, J Zhang, Z Hong, L Wu… - IEEE Transactions on …, 2021 - research.polyu.edu.hk
Federated learning is promising in enabling large-scale machine learning by massive
clients without exposing their raw data. It can not only enable the clients to preserve the …

[引用][C] A Survey of Incentive Mechanism Design for Federated Learning

Y Zhan, J Zhang, Z Hong, L Wu, P Li… - IEEE Transactions on …, 2021 - cir.nii.ac.jp
A Survey of Incentive Mechanism Design for 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・データをさがす …

A Survey of Incentive Mechanism Design for Federated Learning

Y Zhan, J Zhang, Z Hong, L Wu, P Li… - IEEE Transactions on …, 2022 - computer.org
Federated learning is promising in enabling large-scale machine learning by massive
clients without exposing their raw data. It can not only enable the clients to preserve the …