Oct 4, 2019 · We propose an efficient and privacy-enhanced federated learning (PEFL) scheme for IAI. Compared with existing solutions, PEFL is noninteractive, and can ...
We propose an efficient and Privacy-Enhanced Federated Learning (PEFL) scheme for IAI. Compared with existing solutions, PEFL is non-interactive, and can ...
CONCLUSION. In this paper, we have proposed an efficient and privacy- enhanced federated learning (PEFL) scheme for industrial artificial intelligence.
This article proposes an efficient and privacy-enhanced federated learning (PEFL) scheme for IAI that is noninteractive, and can prevent private data from ...
Sep 7, 2024 · Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.
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Aug 16, 2024 · We propose an efficient and privacy-enhanced asynchronous federated learning approach for multimedia data in edge-based IoT.
Dec 14, 2024 · Abstract. Federated learning (FL) is capable of analyzing tremendous data from smart edge devices in Industrial Internet of Things (IIoTs), ...
In this paper, we propose a Privacy-Enhanced Momentum Federated Learning framework, named PEMFL, that amalgamates differential privacy (DP), Momentum FL (MFL) ...
Nov 3, 2024 · Federated learning Machine Learning Security Privacy ... Efficient and privacy-enhanced federated learning for industrial artificial intelligence.
Jun 25, 2024 · Federated Learning (FL) is an emerging distributed machine learning paradigm designed to resolve the conflict between data sharing and ...