Dec 22, 2022 · To address this challenge, this work uses a federated learning mechanism and proposes a privacy-preserving social computing framework for health ...
To address this challenge, this work uses a federated learning mechanism and proposes a privacy-preserving social computing framework for health management.
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A privacy preserving framework for federated learning in smart healthcare systems ... Health data management involves acquisition (collection, cleaning, and ...
May 9, 2024 · In this paper, we propose a privacy-preserving edge FL framework for resource-constrained mobile-health and wearable technologies over the ...
Missing: Social Management
Jan 22, 2024 · FL is a part of machine learning that enables multiple data owners to collaboratively train a single model by sharing model parameters instead ...
Jul 12, 2024 · However, the use of more secure and private FL frameworks toward increasing trust in the system is expected to enable a more diverse collection ...
Mar 18, 2024 · Federated Learning [6] is a distributed machine learning solution proposed by Google in 2016. It aims to protect data privacy by training models ...
The proposed model addresses privacy preservation issues in FL for IoMT based big data analytics. •. Load reduction and user anonymity preservation is ...
This paper proposes a bandwidth-efficient privacy-preserving Federated Learning that provides theoretical privacy guarantees based on Differential Privacy. We ...
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Jun 21, 2024 · In this study, we have identified several advantages of using secret sharing (SS) techniques over traditional encryption techniques and present ...