Jul 27, 2021 · To address this issue, we aim to design a privacy-preserving incentive mechanism for the federated cloud-edge learning (PFCEL) system such that ...
The federated learning scheme enhances the privacy preservation through avoiding the private data uploading in cloud-edge computing.
Oct 22, 2024 · To address this issue, we aim to design a privacy-preserving incentive mechanism for the federated cloud-edge learning (PFCEL) system such that ...
Dec 7, 2021 · The federated learning scheme enhances the privacy preservation through avoiding the private data uploading in cloud-edge computing.
Since the PS and edge devices must exchange their trained models iteratively over the wireless channels, FL performance can be significantly affected by ...
Privacy-Preserving Incentive Mechanism Design for Federated Cloud-Edge Learning¶. intro¶. cloud-edge computing; three-layer. edge devices, EDs; process data ...
We designed a federated learning (FL) system that includes a reputation mechanism to help manufacturers leverage customer data to train machine learning models.
People also ask
Is federated learning privacy preserving?
How much privacy does federated learning with secure aggregation guarantee?
To avoid the original private data uploading in cloud-edgecomputing, the federated learning (FL) scheme is recently proposed which enhances ...
Jun 14, 2024 · Energy-Efficient and Privacy-Preserved Incentive Mechanism for Mobile Edge Computing-Assisted Federated Learning in Healthcare System · Contents.
In this paper, taking privacy concern and competition among providers into consideration, we utilize RL technique to design a privacy-preserving incentive ...